Understanding the Risk of ChatGPT: What you Should Know

Posted on September 19, 2023July 10, 2025 J.R. Rettenmeyer

OpenAI’s ChatGPT burst onto the scene less than a year ago and has already seen use in marketing, education, software development, and at least a dozen other industries.

Of particular interest to us is how ChatGPT is being used in contact centers. Though it’s already revolutionizing contact centers by making junior agents vastly more productive and easing the burnout contributing to turnover, there are nevertheless many issues that a contact center manager needs to look out for.

That will be our focus today.

What are the Risks of Using ChatGPT?

In the following few sections, we’ll detail some of the risks of using ChatGPT. That way, you can deploy ChatGPT or another large language model with the confidence born of knowing what the job entails.

Hallucinations and Confabulations

By far the most well-known failure mode of ChatGPT is its tendency to simply invent new information. Stories abound of the model making up citations, peer-reviewed papers, researchers, URLs, and more. To take a recent well-publicized example, ChatGPT accused law professor Jonathan Turley of having behaved inappropriately with some of his students during a trip to Alaska.

The only problem was that Turley had never been to Alaska with any of his students, and the alleged Washington Post story which ChatGPT claimed had reported these facts had also been created out of whole cloth.

This is certainly a problem in general, but it’s especially worrying for contact center managers who may increasingly come to rely on ChatGPT to answer questions or to help resolve customer issues.

To those not steeped in the underlying technical details, it can be hard to grok why a language model will hallucinate in this way. The answer is: it’s an artifact of how large language models train.

ChatGPT learns how to output tokens from being trained on huge amounts of human-generated textual data. It will, for example, see the first sentences in a paragraph, and then try to output the text that completes the paragraph. The example below is the opening lines of J.D. Salinger’s The Catcher in the Rye. The blue sentences are what ChatGPT would see, and the gold sentences are what it would attempt to create itself:

“If you really want to hear about it, the first thing you’ll probably want to know is where I was born, and what my lousy childhood was like, and how my parents were occupied and all before they had me, and all that David Copperfield kind of crap, but I don’t feel like going into it, if you want to know the truth.”

Over many training runs, a large language model will get better and better at this kind of autocompletion work, until eventually it gets to the level it’s at today.

But ChatGPT has no native fact-checking abilities – it sees text and outputs what it thinks is the most likely sequence of additional words. Since it sees URLs, papers, citations, etc., during its training, it will sometimes include those in the text it generates, whether or not they’re appropriate (or even real.)

Privacy

Another ongoing risk of using ChatGPT is the fact that it could potentially expose sensitive or private information. As things stand, OpenAI, the creators of ChatGPT, offer no robust privacy guarantees for any information placed into a prompt.

If you are trying to do something like named entity recognition or summarization on real people’s data, there’s a chance that it might be seen by someone at OpenAI as part of a review process. Alternatively, it might be incorporated into future training runs. Either way, the results could be disastrous.

But this is not all the information collected by OpenAI when you use ChatGPT. Your timezone, browser type and IP address, cookies, account information, and any communication you have with OpenAI’s support team is all collected, among other things.

In the information age we’ve become used to knowing that big companies are mining and profiting off the data we generate, but given how powerful ChatGPT is, and how ubiquitous it’s becoming, it’s worth being extra careful with the information you give its creators. If you feed it private customer data and someone finds out, that will be damaging to your brand.

Bias in Model Output

By now, it’s pretty common knowledge that machine learning models can be biased.

If you feed a large language model a huge amount of text data in which doctors are usually men and nurses are usually women, for example, the model will associate “doctor” with “maleness” and “nurse” with “femaleness.”
This is generally an artifact of the data the models were trained, and is not due to any malfeasance on the part of the engineers. This does not, however, make it any less problematic.

There are some clever data manipulation techniques that are able to go a long way toward minimizing or even eliminating these biases, though they’re beyond the scope of this article. What contact center managers need to do is be aware of this problem, and establish monitoring and quality-control checkpoints in their workflow to identify and correct biased output in their language models.

Issues Around Intellectual Property

Earlier, we briefly described the training process for a large language model like ChatGPT (you can find much more detail here.) One thing to note is that the model doesn’t provide any sort of citations for its output, nor any details as to how it was generated.

This has raised a number of thorny questions around copyright. If a model has ingested large amounts of information from the internet, including articles, books, forum posts, and much more, is there a sense in which it has violated someone’s copyright? What about if it’s an image-generation model trained on a database of Getty Images?

By and large, we tend to think this is the sort of issue that isn’t likely to plague contact center managers too much. It’s more likely to be a problem for, say, songwriters who might be inadvertently drawing on the work of other artists.

Nevertheless, a piece on the potential risks of ChatGPT wouldn’t be complete without a section on this emerging problem, and it’s certainly something that you should be monitoring in the background in your capacity as a manager.

Failure to Disclose the Use of LLMs

Finally, there has been a growing tendency to make it plain that LLMs have been used in drafting an article or a contract, if indeed they were part of the process. To the best of our knowledge, there are not yet any laws in place mandating that this has to be done, but it might be wise to include a disclaimer somewhere if large language models are being used consistently in your workflow. [1]

That having been said, it’s also important to exercise proactive judgment in deciding whether an LLM is appropriate for a given task in the first place. In early 2023, the Peabody School at Vanderbilt University landed in hot water when it disclosed that it had used ChatGPT to draft an email about a mass shooting that had taken place at Michigan State.

People may not care much about whether their search recommendations were generated by a machine, but it would appear that some things are still best expressed by a human heart.

Again, this is unlikely to be something that a contact center manager faces much in her day-to-day life, but incidents like these are worth understanding as you decide how and when to use advanced language models.

Mitigating the Risks of ChatGPT

From the moment it was released, it was clear that ChatGPT and other large language models were going to change the way contact centers run. They’re already helping agents answer more queries, utilize knowledge spread throughout the center, and automate substantial portions of work that were once the purview of human beings.

Still, challenges remain. ChatGPT will plainly make things up, and can be biased or harmful in its text. Private information fed into its interface will be visible to OpenAI, and there’s also the wider danger of copyright infringement.

Many of these issues don’t have simple solutions, and will instead require a contact center manager to exercise both caution and continual diligence. But one place where she can make her life much easier is by using a powerful, out-of-the-box solution like the Quiq conversational AI platform.

While you’re worrying about the myriad risks of using ChatGPT you don’t also want to be contending with a million little technical details as well, so schedule a demo with us to find out how our technology can bring cutting-edge language models to your contact center, without the headache.

Footnotes
[1] NOTE: This is not legal advice.

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The Ongoing Management of an LLM Assistant

Posted on September 15, 2023August 18, 2025 The Quiq Team

Technologies like large language models (LLMs) are amazing at rapidly generating polite text that helps solve a problem or answer a question, so they’re a great fit for the work done at contact centers.

But this doesn’t mean that using them is trivial or easy. There are many challenges associated with the ongoing management of an LLM assistant, including hallucinations and the emergence of bad behavior – and that’s not even mentioning the engineering prowess required to fine-tune and monitor these systems.

All of this must be borne in mind by contact center managers, and our aim today is to facilitate this process.

We’ll provide broad context by talking about some of the basic ways in which large language models are being used in business, discuss, setting up an LLM assistant, and then enumerate some of the specific steps that need to be taken in using them properly.

Let’s go!

How Are LLMs Being Used in Science and Business?

First, let’s adumbrate some of the ways in which large language models are being utilized on the ground.

The most obvious way is by acting as a generative AI assistant. One of the things that so stunned early users of ChatGPT was its remarkable breadth in capability. It could be used to draft blog posts, web copy, translate between languages, and write or explain code.

This alone makes it an amazing tool, but it has since become obvious that it’s useful for quite a lot more.

One thing that businesses have been experimenting with is fine-tuning large language models like ChatGPT over their own documentation, turning it into a simple interface by which you can ask questions about your materials.

It’s hard to quantify precisely how much time contact center agents, engineers, or other people spend hunting around for the answer to a question, but it’s surely quite a lot. What if instead you could just, y’know, ask for what you want, in the same way that you do a human being?

Well, ChatGPT is a long way from being a full person, but when properly trained it can come close where question-answering is concerned.

Stepping back a little bit, LLMs can be prompt engineered into a number of useful behaviors, all of which redound to the benefit of the contact centers which use them. Imagine having an infinitely patient Socratic tutor that could help new agents get up to speed on your product and process, or crafting it into a powerful tool for brainstorming new product designs.

There have also been some promising attempts to extend the functionality of LLMs by making them more agentic – that is, by embedding them in systems that allow them to carry out more open-ended projects. AutoGPT, for example, pairs an LLM with a separate bot that hits the LLM with a chain of queries in the pursuit of some goal.

AssistGPT goes even further in the quest to augment LLMs by integrating them with a set of tools that allow them to achieve objectives involving images and audio in addition to text.

How to Set Up An LLM Assistant

Next, let’s turn to a discussion of how to set up an LLM assistant. Covering this topic fully is well beyond the scope of this article, but we can make some broad comments that will nevertheless be useful for contact center managers.

First, there’s the question of which large language model you should use. In the beginning, ChatGPT was pretty much the only foundation model on offer. Today, however, that situation has changed, and there are now foundation models from Anthropic, Meta, and many other companies.

One of the biggest early decisions you’ll have to make is whether you want to try and use an open-source model (for which the code and the model weights are freely available) or a close-source model (for which they are not).

If you go the closed-source route you’ll almost certainly be hitting the model over an API, feeding it your queries and getting its responses back. This is orders of magnitude simpler than provisioning an open-source model, but it means that you’ll also be beholden to the whims of some other company’s engineering team. They may update the model in unexpected ways, or simply go bankrupt, and you’ll be left with no recourse.

Using an open-source alternative, of course, means grabbing the other horn of the dilemma. You’ll have visibility into how the model works and will be free to modify it as you see fit, but this won’t be worth much unless you’re willing to devote engineering hours to the task.

Then, there’s the question of fine-tuning large language models. While ChatGPT and LLMs more generally are quite good on their own, having them answer questions about your product or respond in particular ways means modifying their behavior somehow.

Broadly speaking, there are two ways of doing this, which we’ve mentioned throughout: proper fine-tuning, and prompt engineering. Let’s dig into the differences.

Fine-tuning means showing the model many (i.e. several hundred) examples of the behaviors you want to see, which changes its internal weights and biases it towards those behaviors in the future.

Prompt engineering, on the other hand, refers to carefully structuring your prompts to elicit the desired behavior. These LLMs can be surprisingly sensitive to little details in the instructions they’re provided, and prompt engineers know how to phrase their requests in just the right way to get what they need.

There is also some middle ground between these approaches. “One-shot learning” is a form of prompt engineering in which the prompt contains a singular example of the desired behavior, while “few-shot learning” refers to including between three and five examples.

Contact center managers thinking about using LLMs will need to think about these implementation details. If you plan on only lightly using ChatGPT in your contact center, a basic course on prompt engineering might be all you need. If you plan on making it an integral part of your organization, however, that most likely means a fine-tuning pipeline and serious technical investment.

The Ongoing Management of an LLM

Having said all this, we can now turn to the day-to-day details of managing an LLM assistant.

Monitoring the Performance of an LLM

First, you’ll need to continuously monitor the model. As hard as it may be to believe given how perfect ChatGPT’s output often is, there isn’t a person somewhere typing the responses. ChatGPT is very prone to hallucinations, in which it simply makes up information, and LLMs more generally can sometimes fall into using harmful or abusive language if they’re prompted incorrectly.

This can be damaging to your brand, so it’s important that you keep an eye on the language created by the LLMs your contact center is using.

And of course, not even LLMs can obviate the need to track the all-import key performance indicators. So far, there’s been one major study on generative AI in contact centers that found they increased productivity and reduced turnover, but you’ll still want to measure customer satisfaction, average handle time, etc.

There’s always a temptation to jump on a shiny new technology (remember the blockchain?), but you should only be using LLMs if they actually make your contact center more productive, and the only way you can assess that is by tracking your figures.

Iterative Fine-Tuning and Training

We’ve already had a few things to say about fine-tuning and the related discipline of prompt engineering, and here we’ll build on those preliminary comments.
The big thing to bear in mind is that fine-tuning a large language model is not a one-and-done kind of endeavor. You’ll find that your model’s behavior will drift over time (the technical term is “model degradation”), and this means you will likely to have to periodically re-train it.

It’s also common to offer the model “feedback”, i.e. by ranking it’s responses or indicating when you did or did not like a particular output. You’ve probably heard of reinforcement learning through human feedback, which is one version of this process, but there are also others you can use.

Quality Assurance and Oversight

A related point is that your LLMs will need consistent oversight. They’re not going to voluntarily improve on their own (they’re algorithms with no personal initiative to speak of), so you’ll need to checking in routinely to make sure they’re performing well and that your agents are using them responsibly.

There are many parts to this, including checks on the models outputs and an audit process that allows you to track down any issues. If you suddenly see a decline in performance, for example, you’ll need to quickly figure out whether it’s isolated to one agent or part of a larger pattern. If it’s the former, was it a random aberration, or did the agent go “off script” in a way that caused the model to behave poorly?

Take another scenario, in which an end-user was shown inappropriate text generated by an LLM. In this situation, you’ll need to take a deeper look at your process. If there were agents interacting with this model, ask them why they failed to spot the problematic text and stop it being shown to a customer. Or, if it came from a mostly-automated part of your tech stack, you need to uncover the reasons for which your filters failed to catch it, and perhaps think about keeping humans more in the loop.

The Future of LLM Assistants

Though the future is far from certain, we tend to think that LLMs have left Pandora’s box for good. They’re incredibly powerful tools which are poised to transform how contact centers and other enterprises operate, and experiments so far have been very promising; for all these reasons, we expect that LLMs will become a steadily more important part of the economy going forward.

That said, the ongoing management of an LLM assistant is far from trivial. You need to be aware at all times of how your model is performing and how your agents are using it. Though it can make your contact center vastly more productive, it can also lead to problems if you’re not careful.

That’s where the Quiq platform comes in. Our conversational AI is some of the best that can be found anywhere, able to facilitate customer interactions, automate text-message follow-ups, and much more. If you’re excited by the possibilities of generative AI but daunted by the prospect of figuring out how TPUs and GPUs are different, schedule a demo with us today.

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How Do You Train Your Agents in a ChatGPT World?

Posted on September 6, 2023August 13, 2025 The Quiq Team

There’s long been an interest in using AI for educational purposes. Technologist Danny Hillis has spent decades dreaming of a digital “Aristotle” that would teach everyone in the way that the original Greek wunderkind once taught Alexander the Great, while modern companies have leveraged computer vision, machine learning, and various other tools to help students master complex concepts in a variety of fields.

Still, almost nothing has sparked the kind of enthusiasm for AI in education that ChatGPT and large language models more generally have given rise to. From the first, its human-level prose, knack for distilling information, and wide-ranging abilities made it clear that it would be extremely well-suited for learning.

But that still leaves the question of how. How should a contact center manager prepare for AI, and how should she change the way she trains her agents?

In our view, this question can be understood in two different, related ways:

How can ChatGPT be used to help agents master skills related to their jobs?
How can they be trained to use ChatGPT in their day-to-day work?

In this piece, we’ll take up both of these issues. We’ll first provide a general overview of the ways in which ChatGPT can be used for both education and training, then turn to the question of the myriad ways in which contact center agents can be taught to use this powerful new technology.

How is ChatGPT Used in Education and Training?

First, let’s get into some of the early ways in which ChatGPT is changing education and training.

NOTE: Our comments here are going to be fairly broad, covering some areas that may not be immediately applicable to the work contact center agents do. The main purpose for this is that it’s very difficult to forecast how AI is going to change contact center work.

Our section on “creating study plans and curricula”, for example, might not be relevant to today’s contact center agents. But it could become important down the road if AI gives rise to more autonomous workflows in the future, in which case we expect that agents would be given more freedom to use AI and similar tools to learn the job on their own.

We pride ourselves on being forward-looking and forward-thinking here at Quiq, and we structure our content to reflect this.

Making a Socratic Tutor for Learning New Subjects

The Greek philosopher Socrates famously pioneered the instructional methodology which bears his name. Mostly, the Socratic method boils down to continuously asking targeted questions until areas of confusion emerge, at which point they’re vigorously investigated, usually in a small group setting.

A well-known illustration of this process is found in Plato’s Republic, which starts with an attempt to define “justice” and then expands into a much broader conversation about the best way to run a city and structure a social order.

ChatGPT can’t replace all of this on its own, of course, but with the right prompt engineering, it does a pretty good job. This method works best when paired with a primary source, such as a textbook, which will allow you to double-check ChatGPT’s questions and answers.

Having it Explain Code or Technical Subjects

A related area in which people are successfully using ChatGPT is in having it walk you through a tricky bit of code or a technical concept like “inertia”.

The more basic and fundamental, the better. In our experience so far, ChatGPT has almost never failed in correctly explaining simple Python, Pandas, or Java. It did falter when asked to produce code that translates between different orbital reference frames, however, and it had no idea what to do when we asked it about a fairly recent advance in the frontiers of battery chemistry.

There are a few different reasons that we advise caution if you’re a contact center agent trying to understand some part of your product’s codebase. For one thing, if the product is written in a less-common language ChatGPT might not be able to help much.

But even more importantly, you need to be extremely careful about what you put into it. There have already been major incidents in which proprietary code and company secrets were leaked when developers pasted them into the ChatGPT interface, which is visible to the OpenAI team.

Conversely, if you’re managing teams of contact center agents, you should begin establishing a policy on the appropriate uses of ChatGPT in your contact center. If your product is open-source there’s (probably) nothing to worry about, but otherwise, you need to proactively instruct your agents on what they can and cannot use the tool to accomplish.

Rewriting Explanations for Different Skill Levels

Wired has a popular Youtube series called “5 levels”, where experts in quantum computing or the blockchain will explain their subject at five different skill levels: “child”, “teen”, “college student”, “grad student”, and a fellow “expert.”

One thing that makes this compelling to beginners and pros alike is seeing the same idea explored across such varying contexts – seeing what gets emphasized or left out, or what emerges as you gradually climb up the ladder of complexity and sophistication.

This, too, is a place where ChatGPT shines. You can use it to provide explanations of concepts at different skill levels, which will ultimately improve your understanding of them.

For a contact center manager, this means that you can gradually introduce ideas to your agents, starting simply and then fleshing them out as the agents become more comfortable.

Creating Study Plans and Curricula

Stepping back a little bit, ChatGPT has been used to create entire curricula and even daily study plans for studying Spanish, computer science, medicine, and various other fields.

As we noted at the outset, we expect it will be a little while before contact center agents are using ChatGPT for this purpose, as most centers likely have robust training materials they like to use.

Nevertheless, we can project a future in which these materials are much more bare-bones, perhaps consisting of some general notes along with prompts that an agent-in-training can use to ask questions of a model trained on the company’s documentation, test themselves as they go, and gradually build skill.

Training Agents to Use ChatGPT

Now that we’ve covered some of the ways in which present and future contact center agents might use ChatGPT to boost their own on-the-job learning, let’s turn to the other issue we want to tackle today: how to train ChatGPT to agents today?

Getting Set Up With ChatGPT (and its Plugins)

First, let’s talk about how you can start using ChatGPT.

This section may end up seeming a bit anticlimactic because, honestly, it’s pretty straightforward. Today, you can get access to ChatGPT by going to the signup page. There’s a free version and a paid version that’ll set you back a whopping $20/month (which is a pretty small price to pay for access to one of the most powerful artifacts the human race has ever produced, in our opinion.)

As things stand, the free tier gives you access to GPT-3.5, while the paid version gives you the choice to switch to GPT-4 if you want the more powerful foundational model.

A paid account also gives you access to the growing ecosystem of ChatGPT plugins. You access the ChatGPT plugins by switching over to the GPT-4 option:

There are plugins that allow ChatGPT to browse the web, let you directly edit diagrams or talk with PDF documents, or let you offload certain kinds of computations to the Wolfram platform.

Contact center agents may or may not find any of these useful right now, but we predict there will be a lot more development in this space going forward, so it’s something managers should know about.

Best Practices for Combining Human and AI Efforts

People have long been fascinated and terrified by automation, but so far, machines have only ever augmented human labor. Knowing when and how to offload work to ChatGPT requires knowing what it’s good for.

Large language models learn how to predict the next token from their training data, and are therefore very good at developing rough drafts, outlines, and more routine prose. You’ll generally find it necessary to edit its output fairly heavily in order to account for context and so that it fits stylistically with the rest of your content.

As a manager, you’ll need to start thinking about a standard policy for using ChatGPT. Any factual claims made by the model, especially any references or citations, need to be checked very carefully.

Scenario-Based Training

In this same vein, you’ll want to distinguish between different scenarios in which your agents will end up using generative AI. There are different considerations in using Quiq Compose or Quiq Suggest to format helpful replies, for example, and in using it to translate between different languages.

Managers will probably want to sit down and brainstorm different scenarios and develop training materials for each one.

Ethical and Privacy Considerations

The rise of generative AI has sparked a much broader conversation about privacy, copyright, and intellectual property.

Much of this isn’t particularly relevant to contact center managers, but one thing you definitely should be paying attention to is privacy. Your agents should never be putting real customer data into ChatGPT, they should be using aliases and fake data whenever they’re trying to resolve a particular issue.

To quote fictional chemist and family man Walter White, we advise you to tread lightly here. Data breaches are a huge and ongoing problem, and they can do substantial damage to your brand.

ChatGPT and What it Means for Training Contact Center Agents

ChatGPT and related technologies are poised to change education and training. They can be used to help get agents up to speed or to work more efficiently, and they, in turn, require a certain amount of instruction to use safely.

These are all things that contact center managers need to worry about, but one thing you shouldn’t spend your time worrying about is the underlying technology. The Quiq conversational AI platform allows you to leverage the power of language models for contact centers, without looking at any code more complex than an API call. If the possibilities of this new frontier intrigue you, schedule a demo with us today!

Contact Center Managers: What Do LLMs Mean For You?

Posted on August 3, 2023July 10, 2025 Michael Hartsog

Whether it’s quantum computing, the blockchain, or generative AI, whenever a promising new technology emerges, forward-thinking people begin looking for a way to use it.

And this is a completely healthy response. It’s through innovation that the world moves forward, but great ideas don’t mean much if there aren’t people like contact center managers who use them to take their operations to the next level.

Today, we’re going to talk about what large language models (LLMs) like ChatGPT mean for contact centers. After briefly reviewing how LLMs work we’ll discuss the way they’re being used in contact centers, how those centers are changing as a result, and some things that contact center managers need to look out for when utilizing generative AI.

What are Large Language Models?

As their name suggests, LLMs are large, they’re focused on language, and they’re machine-learning models.

It’s our view that the best way to tackle these three properties is in reverse order, so we’ll start with the fact that LLMs are enormous neural networks trained via self-supervised learning. These neural networks effectively learn a staggeringly complex function that captures the statistical properties of human language well enough for them to generate their own.

Speaking of human language, LLMs like ChatGPT are pre-trained generative models focused on learning from and creating text. This distinguishes them from other kinds of generative AI, which might be focused on images, videos, speech, music, and proteins (yes, really.)

Finally, LLMs are really big. As with other terms like “big data” no one has a hard-and-fast rule for figuring out when you’ve gone from “language model” to “large language model” – but with billions of internal parameters, it’s safe to say that an LLM is a few orders of magnitude bigger than anything you’re likely to build outside of a world-class engineering team.

How can Large Language Models be Used in Contact Centers?

Since they’re so good at parsing and creating natural language, LLMs are an obvious choice for enterprises where there’s a lot of back-and-forth text exchanged, perhaps while, say, resolving issues or answering questions.

And for this reason, LLMs are already being used by contact center managers to make their agents more productive (more on this shortly).

To be more concrete, we turned up a few specific places where LLMs can be leveraged by contact center managers most effectively.

Answering questions: Even with world-class documentation, there will inevitably be customers who are having an issue they want help with. Though ChatGPT won’t be able to answer every such question, it can handle a lot of them, especially if you’ve fine-tuned it on your documentation.

Streamlining onboarding: For more or less the same reason, ChatGPT can help you onboard new hires. Employees learning the ropes will also be confused about parts of your technology and your process, and ChatGPT can help them find what they need more quickly.

Summarizing emails and articles: It might be possible for a team of five to be intimately familiar with what everyone else is doing, but any more than this and there will inevitably be things happening that are beyond their purview. By summarizing articles, tickets, email or Slack threads, etc., ChatGPT can help everyone stay reasonably up-to-date without having to devote hours every day to reading.

Issue prioritization: Not every customer question or complaint is equally important, and issues have to be prioritized before being handed off to contact center agents. ChatGPT can aid in this process, especially if it’s part of a broader machine-learning pipeline built for this kind of classification.

Translation: If you’re lucky enough to have a global audience, there will almost certainly be users who don’t have a firm grasp of English. Though there are tools like Google Translate that do a great job of handling translation tasks, ChatGPT often does an even better job.

What are Large Language Models for Customer Service?

Large language models are ideally suited for tasks that involve a great deal of working with text. Because contact center agents spend so much time answering questions and resolving customer issues, LLMs are a technology that can make them far more productive. ChatGPT excels at tasks like question answering, summarization, and language translation, which is why they’re already changing the way contact centers function.

How is Generative AI Changing Contact Centers?

The fear that advances in AI will lead to a decrease in employment among inferior human workers has a long and storied pedigree. Still, thus far the march of technological progress has tended to increase the number (and remuneration) of available jobs on the market.

Far from rendering human analysts obsolete, personal computers are now a major and growing source of new work (though, we confess, much less of it is happening on typewriters than before.)

Nevertheless, once people got a look at what ChatGPT can do there arose a fresh surge of worry over whether, this time, the robots were finally going to take all of our jobs.

Wanting to know how generative pre-trained language models have actually impacted the functioning of contact centers, Erik Brynjolfsson, Danielle Li, and Lindsey R. Raymond looked at data from some 5,000 customer support agents using it in their day-to-day work.

Their paper, “Generative AI at Work”, found that generative AI had led to a marked increase in productivity, especially among the newest, least-knowledgable, and lowest-performing workers.

The authors advanced the remarkable hypothesis that this might stem from the fact that LLMs are good at internalizing and disseminating the hard-won tacit knowledge of the best workers. They didn’t get much out of generative AI, in other words, precisely because they already had what they needed to perform well; but some fraction of their skill – such as how to phrase responses delicately to avoid offending irate customers – was incorporated into the LLM, where it was more accessible by less-skilled workers than it was when it was locked away in the brains of high-skilled workers.

What’s more, the organizations studied also changed as a result. Employees (especially lower-skilled ones) were generally more satisfied, less prone to burnout, and less likely to leave. Turnover was reduced, and customers escalated calls to supervisors less frequently.

Now, we hasten to add that of course this is just one study, and we’re in the early days of the generative AI revolution. No one can say with certainty what the long-term impact will be. Still, these are extremely promising early results, and lend credence to the view that generative AI will do a lot to improve the way contact centers onboard new hires, resolve customer issues, and function overall.

What are the Dangers of Using ChatGPT for Customer Service?

We’ve been singing the praises of ChatGPT and talking about all the ways in which it’s helping contact center managers run a tighter ship.

But, as with every technological advance stretching clear back to the discovery of fire, there are downsides. To help you better use generative AI, we’ll spend the next few sections talking about some characteristic failure modes you should be looking out for.

Hallucinations

By now, it’s fairly common knowledge that ChatGPT will just make things up. This is a consequence of the way LLMs like ChatGPT are trained. Remember, the model doesn’t contain a little person inside of it that’s checking statements for accuracy; it’s just taking the tokens it has seen so far and predicting the tokens that will come next.

That means if you ask it for a list of book recommendations to study lepidoptery or the naval battles of the Civil War (we don’t know what you’re into), there’s a pretty good chance that the list it provides will contain a mix of real and fake books.

ChatGPT has been known to invent facts, people, papers (complete with citations), URLs, and plenty else.

If you’re going to have customers interacting with it, or you’re going to have your contact center agents relying on it in a substantial way, this is something you’ll need to be aware of.

Degraded Performance

ChatGPT is remarkably performant, but it’s still just a machine learning model and machine learning models are known to suffer from model degradation.

This term refers to gradual or precipitous declines in model performance over time. There are technical reasons why this occurs, but from your perspective, you need to understand that the work has only begun once a model has been trained and put into production.

But you’re also not out of the woods if you’re accessing ChatGPT via an API, because you have just as little visibility into what’s happening on OpenAI’s engineering teams as the rest of us do.

If OpenAI releases an update you might suddenly find that ChatGPT fails in usual ways or trips over tasks it was handling very well last week. You’ll need to have robust monitoring in place so that you catch these issues if they arise, as well as an engineering team able to address the root cause.

Model degradation often stems from issues with the underlying data. This means that if you’ve e.g. trained ChatGPT to answer questions you might have to assemble new data for it to train on, a process that takes time and money and should be budgeted for.

Harassment and Bias

You could argue that harassment, bias, and harmful language are a kind of degraded performance, but they’re distinct and damaging enough to warrant their own section.

When Microsoft first released Sydney it was cartoonishly unhinged. It would lie, threaten, and manipulate users; in one case, it confessed both its love for a New York Times reporter along with its desire to engineer dangerous viruses and ignite internecine arguments between people.

All this has gotten much better, of course, but the same behavior can manifest in subtler ways, especially if someone is deliberately trying to jailbreak a large language model.

Thanks to extensive public testing and iteration, the current versions of the technology are very good at remaining polite, avoiding stereotyping, etc. Nevertheless, we’re not aware of any way to positively assure that no bias, deceit, or nastiness will emerge from ChatGPT.

This is another place where you’ll have to carefully monitor your model’s output and make corrections as necessary.

Using LLMs in your Contact Center

If you’re running a contact center, you owe it to yourself to at least check out ChatGPT. Whether it makes sense for you will depend on your unique circumstances, but it’s a remarkable new technology that could help you make your agents more effective while reducing turnover.

Quiq offers a white-glove platform that makes it easy to leverage conversational AI. Schedule a demo with us to see how we can help you incorporate generative AI into your contact center today!

Agent Efficiency: How to Collect Better Metrics

Posted on April 12, 2023July 10, 2025 Michael Hartsog

Your contact center experience has a direct impact on your bottom line. A positive customer experience can nudge them toward a purchase, encourage repeat business, or turn them into loyal brand advocates.

But a bad run-in with your contact center? That can turn them off of your business for life.

No matter your industry, customer service plays a vital role in financial success. While it’s easy to look at your contact center as an operational cost, it’s truly an investment in the future of your business.

To maximize your return on investment, your contact center must continually improve. That means tracking contact center effectiveness and agent efficiency is critical.

But before you make any changes, you need to understand how your customer service center currently operates. What’s working? What needs improvement? And what needs to be cut?

Let’s examine how contact centers can measure customer service performance and boost efficiency.

What metrics should you monitor?

The world of contact center metrics is overwhelming—to say the least. There are hundreds of data points to track to assess customer satisfaction, agent effectiveness, and call center success.

But to make meaningful improvements, you need to begin with a few basic metrics. Here are three to start with.

1. Response time.

Response time refers to how long, on average, it takes for a customer to reach an agent. Reducing the amount of time it takes to respond to customers can increase customer satisfaction and prevent customer abandonment.

Response time is a top factor for customer satisfaction, with 83% expecting to interact with someone immediately when they contact a company, according to Salesforce’s State of the Connected Customer report.

When using response time to measure agent efficiency, have different target goals set for different channels. For example, a customer calling in or using web chat will expect an immediate response, while an email may have a slightly longer turnaround. Typically, messaging channels like SMS text fall somewhere in between.

If you want to measure how often your customer service team meets your target response times, you can also track your service level. This metric is the percentage of messages and calls answered by customer service agents within your target time frame.

2. Agent occupancy.

Agent occupancy is the amount of time an agent spends actively occupied on a customer interaction. It’s a great way to quickly measure how busy your customer service team is.

An excessively low occupancy suggests you’ve hired more agents than contact volume demands. At the same time, an excessively high occupancy may lead to agent burnout and turnover, which have their own negative effects on efficiency.

3. Customer satisfaction.

The most important contact center performance metric, customer satisfaction, should be your team’s main focus. Customer satisfaction, or CSAT, typically asks customers one question: How satisfied are you with your experience?

Customers respond using a numerical scale to rate their experience from very dissatisfied (0 or 1) to very satisfied (5). However, the range can vary based on your business’s preferences.

You can calculate CSAT scores using this formula:

Number of satisfied customers ÷ total number of respondents x 100 = CSAT

CSAT’s a great first metric to measure since it’s extremely important in measuring your agents’ effectiveness, and it’s easy for customers to complete.

There are lots of options for measuring different aspects of customer satisfaction, like customer effort score and Net Promoter Score®. Whichever you choose, ensure you use it consistently for continuous customer input.

Bonus tip: Capturing customer feedback and agent performance data is easier with contact center software. Not only can the software help with customer relationship management, but it can facilitate customer surveys, track agent data, and more.

How to assess contact center metrics.

Once you’ve measured your current customer center operations, you can start assessing and taking action to improve performance and boost customer satisfaction. But looking at the data isn’t as easy as it seems. Here are some things to keep in mind as you start to base decisions on your numbers.

Figure out your reporting methods.

How will you gather this information? What timeframes will you measure? Who’s included in your measurements? These are just a few questions you need to answer before you can start analyzing your data.

Contact center software, or even more advanced conversational AI platforms like Quiq, can help you track metrics and even put together reports that are ready for your management team to analyze and take action on.

Analyze data over time.

When you’re just starting out, it can be hard to contextualize your data. You need benchmarks to know whether your CSAT rating or occupancy rates are good or bad. While you can start with industry benchmarks, the most effective way to analyze data is to measure it against yourself over periods of time.

It takes months or even years for trends to reveal themselves. Start with comparative measurements and then work your way up. Month-over-month data or even quarter-over-quarter can give you small windows into what’s working and what’s not working. Just leave the big department-wide changes until you’ve collected enough data for it to be meaningful.

Don’t forget about context.

You can’t measure contact center metrics in a silo. Make sure you look at what’s going on throughout your organization and in the industry as a whole before making any changes. For example, a drop in customer response time might have to do with the influx of messages caused by a faulty product.

While collecting the data is easy, analyzing it and drawing conclusions is much more difficult. Keep the whole picture in mind when making any important decisions.
How to improve call center agent efficiency.
Now that you have the numbers, you can start making changes to improve your agent efficiency. Start with these tips.

Make incremental changes.

Don’t be tempted to make wide-reaching changes across your entire contact center team when you’re not happy with the data. Select specific metrics to target and make incremental changes that move the needle in the right direction.

For example, if your agent occupancy rates are high, don’t rush to add new members to your team. Instead, see what improvements you can make to agent efficiency. Maybe there’s some call center software you can invest in that’ll improve call turnover. Or perhaps all your team needs is some additional training on how to speed up their customer interactions. No matter what you do, track your changes.

Streamline backend processes.

Agents can’t perform if they’re constantly searching for answers on slow intranets or working with outdated information. Time spent fighting with old technology is time not spent serving your contact center customers.

Now’s the perfect time to consider a conversational platform that allows your customers to reach out using the preferred channel but still keeps the backend organized and efficient for your team.

Agents can bounce back and forth between messaging channels without losing track of conversations. Customers get to chat with your brand how they want, where they want, and your team gets to preserve the experience and deliver snag-free customer service.

Improve agent efficiency with Quiq’s Conversational AI Platform

If you want to improve your contact center’s efficiency and customer satisfaction ratings, Quiq’s conversational customer engagement software is your new best friend.

Quiq’s software enables agents to manage multiple conversations simultaneously and message customers across channels, including text and web chat. By giving customers more options for engaging with customer service, Quiq reduces call volume and allows contact center agents to focus on the conversations with the highest priority.

The Rise of Conversational AI: Why Businesses Are Embracing It

Posted on March 16, 2023August 15, 2025 The Quiq Team

Movies may have twisted our expectations of artificial intelligence—either giving us extremely high expectations or making us think it’s ready to wipe out humanity.

But the reality isn’t on those levels. In fact, you’re already using AI in your daily life—but it’s so ingrained in your technology you probably don’t even notice. Netflix and Spotify both use AI to personalize your content recommendations. Siri, Alexa, and Google Assistant use it as well.

Conversational AI, like what Quiq uses to power our chatbots, takes artificial intelligence to the next level. See what it is and how you can use it in your business.

What is conversational AI?

Conversational artificial intelligence (AI) is a collection of technologies that create a human-like experience. It combines natural language processing (NLP), machine learning, and other technologies to enhance streamlined conversations. This can be used in many applications, like chatbots and voice (like Siri and Alexa). The most common use case for conversational AI in the business-to-customer world is through an AI chatbot messaging experience.

Unlike rule-based chatbots, those powered by conversational AI generate responses and adapt to user behavior over time. Rule-based chatbots were also limited to what you put in them—meaning if someone phrased a question differently than you wrote it (or used slang/colloquialisms/etc.), it wouldn’t understand the question. Conversational AI can also help chatbots understand more complex questions.

Putting technical terms in context.

Companies throw around a lot of technical terms when it comes to artificial intelligence, so here are what they mean and how they’re used to improve your business.

Rules-based chatbots: Earlier chatbot iterations (and some current low-cost versions) work mainly through pre-defined rules. Your business (or service provider) writes specific guidelines for the chatbot to follow. For example, when a customer says “Hi,” the chatbot responds, “Hello, how may I help you?”

Another example is when a customer asks about a return. The chatbot is programmed to give a specific response, like, “Here’s a link to the return policy.”

However, the problem with rule-based chatbots is that they can be limiting. It only knows how to handle situations based on the information programmed into it. So if someone says, “I don’t like this product, what can I do?” and you haven’t planned for that question, the chatbot won’t have a response.

Machine learning: Machine learning is a way to combat the problem posed above. Instead of giving the chatbot specific parameters complete with pre-written questions and answers, machine learning helps chatbots make decisions based on the information provided.

Machine learning helps chatbots adapt over time based on customer conversations. Instead of giving the bot specific ways to answer specific questions, you show it the basic rules, and it crafts its own response. Plus, since it means your chatbot is always learning, it gets better the longer you use it.

Natural language processing: As humans and speakers of the English language, we know that there are different ways to ask every question. For example, a customer who wants to know when an item is back in stock may ask, “When is X back in stock?” or they might say, “When will you get X back in?” or even, “When are you restocking X?” Those three questions all mean the same thing, and as humans, we naturally understand that. But a rules-based bot must be told that those mean the same things, or they might not understand it.

Natural language processing (NLP) uses AI technology to help chatbots understand that those questions are all asking the same thing. It also can determine what information it needs to answer your question, like color, size, etc.

NLP also helps chatbots answer questions in a more human-like way. If you want your chatbot to sound more human (and you should), then find one that uses NLP.

Web-based SDK: A web-based SDK (that’s a software development kit for non-developers) is a set of tools and resources developers use to integrate programs (in this case, chatbots) into websites and web-based applications.

What does this mean for your chatbot? Context. When a user says, “I need help with my order,” the chatbot can use NLP to identify “help” and “order.” Then it can look back at previous conversations, pull the customers’ order history, and more—if the data is there.

Contextual conversations are everything in customer service—so this is a big factor in building a successful chatbot using conversational AI. In fact, 70% of customers expect anyone they’re speaking with to have the full context. With a web-based SDK, your chatbot can do that too.

The benefits of conversational AI.

Using chatbots with conversational AI provides benefits across your business, but the clearest wins are in your contact center. Here are three ways chatbots improve your customer service.

24/7 customer support.

Your customer service agents need to sleep, but your conversational AI chatbot doesn’t. A chatbot can answer questions and contain customer issues while your contact center is closed. Any issues they can’t solve, they can pass along to your agents the next day. Not only does that give your customers 24/7 service, but your agents will have less of a backlog when they return to work.

Faster response times.

When your agents are inundated with customers, an AI chatbot can pick up the slack. Send your chatbot in to greet customers immediately, let them know the wait time, or even start collecting information so your agents can get to the root of the problem faster. Chatbots powered with AI can also answer questions and solve easy customer issues, skipping human agents altogether.

For more ways AI chatbots can improve your customer service, read this >

More present customer service agents.

Chatbots can handle low-level customer queries and give agents the time and space to handle more complex issues. Not only will this result in better customer service, but agents will be happier and less stressed overall.

Plus, chatbots can scale during your busy seasons. You’ll save on costs since you won’t have to hire more agents, and the agents you have won’t be overworked.

How to make the most of AI technology.

Unfortunately, you can’t just plug and play with conversational AI and expect to become an AI company. Just like any other technology, it takes prep work and thoughtful implementation to get it right—plus lots of iterations.

Use these tips to make the most of AI technology:

Decide on your AI goals.

How are you planning on using conversational AI? Will it be for marketing? Customer service? All of the above? Think about what your main goals are and use that information to select the right AI partner.

Choose the right conversational AI platform.

Once you’ve decided on how you want to use conversational AI, select the right partner to help you get there. Think about aspects like ease of use, customization, scalability, and budget.

Design your chatbot interactions.

Even with artificial intelligence, you still have to put the work in upfront. What you do and how you do it will vary greatly depending on which platform you go with. Design your chatbot conversations with these things in mind:

Your brand voice
Personalization
Customer service best practices
Logical conversation flows
Concise messages

Build a partnership between agents and chatbots.

Don’t launch the chatbot independently of your customer service agents. Include them in the training and launch, and start to build a working relationship between the two. Agents and chatbots can work together on customer issues, both popping in and out of the conversation seamlessly. For example, a chatbot can collect information from the customer upfront and pass it to the agent to solve the issue. Then, when the agent is done, they can bring the chatbot back in to deliver a customer survey.

Test and refine.

Sometimes, you don’t know what you don’t know until it happens. Test your chatbot before it launches, but don’t stop there. Keep refining your conversations even after you’ve launched.

What does the future hold for conversational AI?

There are many exciting things happening in AI right now, and we’re only on the cusp of delving into what it can really do.

The big prediction? For now, conversational AI will keep getting better at what it’s already doing. More human-like interactions, better problem-solving, and more in-depth analysis.

In fact, 75% of customers believe AI will become more natural and human-like over time. Gartner is also predicting big things for conversational AI, saying by 2026, conversational AI deployments within contact centers will reduce agent labor costs by $80 billion.

Why should you jump in now when bigger things are coming? It’s simple. You’ll learn to master conversational AI tools ahead of your competitors and earn an early competitive advantage.

How Quiq does conversational AI.

To ensure you give your customers the best experience, Quiq powers our entire platform with conversational AI. Here are a few stand-out ways Quiq uniquely improves your customer service with conversational AI.

Design customized chatbot conversations.

Create chatbot conversations so smooth and intuitive that it feels like you’re talking to a real person. Using the best conversational AI techniques, Quiq’s chatbot gives customers quick and intelligent responses for an up-leveled customer experience.

Help your agents respond to customers faster.

Make your agents more efficient with Quiq Compose. Quiq Compose uses conversational AI to suggest responses to customer questions. How? It uses information from similar conversations in the past to craft the best response.

Empower agent performance.

Tools like our Adaptive Response Timer (ADT) prioritizes conversations based on how fast or slow customers respond. The conversational AI platform also uses AI to analyze customer sentiment to give extra attention to customers who need it.

This is just the beginning.

This is just a taste of what conversational AI can do. See how Quiq can apply the latest technology to your contact center to help you deliver exceptional customer service.

Does Your Chatbot Sound Robotic? 7 Ways to Fix It

Posted on March 7, 2023August 15, 2025 The Quiq Team

Does your chatbot sound like a robot?

Okay, chatbots are robots (hence the name), but they don’t have to sound like something out of a 70s sci-fi flick.

Chatbots have come a long way and are getting better at understanding and mimicking human interactions. According to Zendesk’s CX Trends 2023 report, 65% of leaders believe the AI/bots they use are becoming more natural and human-like.

It turns out customers agree. Sixty-nine percent who seek support find themselves asking bots a wider range of questions than before. But companies are still struggling to keep up with customers’ AI expectations.

Seventy-five percent of customers think AI should be able to provide the same level of service as human agents, and 75% expect AI interactions will become more natural and human-like over time.

So if your bot is still sounding a little wooden (or metallic), your customer satisfaction could be taking a hit. Here are some ways to make your chatbot sound more human.

But first, should chatbots sound human?

We think so. Yet, there’s a difference between making your bot sound human and pretending your bot is a human. No matter how advanced your chatbot is, we always recommend full transparency to our customers.

While chatbots can be as much a part of your team as your human agents, there are definitely limits to what they can do. If you don’t introduce your chatbot as such, customers might feel like you’re trying to trick them. And in today’s landscape, customer trust is everything.

Now back to the fun stuff.

1. Name your chatbot.

Amazon has Alexa, Apple has Siri, and Iron Man has Jarvis (and Friday). Chatbots and AI are instantly more relatable when you stop calling them bots.

We worked with Daily Harvest to develop their chatbot, aptly named Sage. Sage fields common questions and gathers data for conversations with human agents. Sage also helps minimize the stress on the Daily Harvest customer service team by containing 60% of conversations. While containment (where customers’ conversations aren’t transferred to a human agent) isn’t the goal, it’s good to know customers are gaining enough valuable information for Sage to resolve their own questions.

2. Consider putting a face to your AI.

Admittedly, this tip is controversial. Do Alexa and Siri have faces? No, that’d be weird. But they’re associated with objects already. Since your chatbot lives on the screen, giving it a face isn’t a bad idea.

Consider giving your bot a friendly avatar. It doesn’t have to be a literal face. It can be an icon, an inanimate object, an animal, or whatever represents your brand. Go with your gut on this one—it can really go either way.

Here’s a bad example:

3. Give your chatbot some personality.

What’s the first thing human agents do when they start a new chat? They introduce themselves! Your chatbot should do the same. On the first message, have your chatbot introduce themselves, say they’re a chatbot/virtual assistant/virtual agent/etc, and ask how they can help.

Beyond introductions, include some casual language in your chatbot’s script. Instead of “What’s your question?” say, “How can I help you today?”

Remember that your chatbot is an extension of your brand, so its personality should reflect it. If your brand is quirky and whimsical, infuse that language into your chatbot.

4. Teach your chatbot empathy.

Typically, low-tech chatbots can only repeat preprogrammed phrases. However, humans adapt to mood, personality, and behavior. To make your chatbot really feel more friendly and human-like, it needs to be able to do the same.

Look for a chatbot that Interprets questions through natural language processing (NLP) to determine how to answer it. NLP allows bots to pick up on human speech patterns in a much more sophisticated way.

You can also add empathetic language to various points in the chatbot script. Phrases like “I understand” and “I’m sorry to hear that” go a long way in soothing customer frustrations.

5. Give your chatbot context.

Start with the customer’s name. Whether the customer already has a profile or you program the chatbot to ask for it, have your chatbot use the customer’s name in conversation. But don’t stop there.

Context makes conversations go a lot smoother, whether with a chatbot or with a human agent. Program your bot to pull in context from your customer’s web behavior into the conversation. For example, if a customer has been looking at Hawaiian vacations, have the bot ask if they need help with their trip to the islands.

Context will make the conversation flow more naturally and give your customers a better overall experience.

6. Make your chatbot and human agents a team.

The human-like quality of understanding shouldn’t be underestimated in a chatbot. Having a bot that understands what a customer is asking—and knows when to bring in reinforcements—is key to a great customer experience.

Instead of trying to replace your human agents, make your chatbot and agents a team. Jewelry retailer Blue Nile is a great example of how chatbots and humans can work together to elevate the customer experience.

Blue Nile’s initial chatbot attempt routed customers all across the company without considering what they were asking. Customers looking to buy were sent to service reps instead of sales, and vice versa.

So the dazzling diamond dealer worked with Quiq to create a much more intuitive and human-like chatbot. A better chat experience led to 70% more sales interactions and a 35% conversion rate.

7. Combine logic and rules for a more responsive experience.

Low-tech chatbots might ask you to write responses for a specific chain of events. For example, your customer mentions a return, the chatbot pulls up return directions, the problem is resolved. That’s chatbot logic.

But one thing a human has that many chatbots lack is the ability to pick up on queues and respond accordingly.

With AI-enhanced chatbots, you can also define specialty rules for your chatbot to follow. Going back to our return example, most are simple and straightforward. Sometimes, however, a customer is extremely unhappy with the product or service and needs extra attention. AI chatbots, like Quiq’s, can use sentiment analysis to pick up on customer behavior to identify an unhappy customer (or whichever other sentiment you choose) and reroute to a human agent.

This way, you don’t have a cheery chatbot irritating your already irate customer.

Embrace AI to humanize your chatbot.

Humanizing your chatbot comes down to two factors:

A dedicated effort to give your chatbot personality
The AI technology to make it happen

With both those components, you can make your chatbot sound more human and embrace it as part of your customer service team.

Request A Demo

7 Ways AI Chatbots Improve Customer Service

Posted on January 18, 2023August 14, 2025 The Quiq Team

If you’ve been using business messaging for a while, you know easy and convenient it is for your customers—and its impact on your customer service team’s output.

With Quiq’s robust messaging platform, it’s easy for contact centers to manage customer conversations while boosting conversion rates, increasing engagement, and reducing costs. But our little slice of digital nirvana only gets better when you add chatbots into the mix.

Enter the business messaging bot. Bots can help increase your agent productivity while delivering an even better customer experience.

We’re diving into seven times business messaging bots made a customer conversation faster and better.

1. Collect customer information upfront.

Let’s say, for example, you own an airline with a great reward program. With Quiq, you can create a bot that greets all your customers right away and asks them to enter their rewards number if they have one.

This “reward bot” will use the information gathered to help recognize platinum-status members—your most elite program. The reward bot reroutes platinum members to a special VIP queue where wait times are shorter and they receive higher support. This is done consistently and without hesitation. Your platinum members don’t have to wade through the customer service queue. It makes them feel more valued and more likely to continue flying with you in the future.

The reward bot can also collect other information, such as confirmation numbers for reservations, updated email addresses, or contact numbers. All of this data gathering can be done before a human agent steps into the conversation. The support chatbot has done the work to arm the agent with the information they need to deliver better service.

2. Decrease customer abandonment.

Acknowledging customers with a fast, friendly greeting lets them know they’ve started on a path to resolution. Agents may be busy with other conversations (we’ve seen agents handle upwards of eight at a time), but that doesn’t mean the customer can’t start engaging with your business. A support chatbot can greet customers immediately while agents are busy.

Instead of waiting in a stagnant queue over the phone or trying to talk to a live chat agent (also known as web chat) who has disappeared, a bot can send a welcome message and let the customer know when they’ll receive a response from a human agent.

3. Get faster, more accurate customer responses.

Remember the last time you had to spell your name out over the phone or repeat your birthday again and again because the call bot couldn’t pick it up? Conversational chatbots eliminate that frustration and ensure it collects fast and accurate information from the customer every time.

Over messaging, the customer can see the data they’re providing and confirm right away if there’s an error. The customer can at least reference the information and catch any typos in their email address or that they’ve provided their old phone number. It happens.

4. Prioritize customer conversations.

In our above example, the reward bot was able to recognize platinum rewards members so they could get the perks that came with their membership. Chatbots can help you prioritize conversations in other ways too.

For example, you can set rules within Quiq to recognize keywords such as “buy” or “purchase” to prioritize customers who may need help with a transaction. Depending on the situation, the platform can prioritize that conversation (likely with high purchase intent) over a password reset or return.

A chatbot platform like Quiq can also use natural language processing (NLP) to predict customer sentiment and prioritize based on that. That way, you can identify a frustrated customer and bump them up in the queue to handle the problem before it escalates.

5. Get customers to the right place.

Chatbots can help route customers to the appropriate department, agent, or even another support bot for help. Much like a call routing system (but more sophisticated), a chatbot can identify a customer’s problem and save them from bouncing around between support agents.

The simplest example is when a bot greets customers and asks, “What can I help you with today?” The bot can either present the user with several options or let them state their problem. A customer can then be routed directly to the support agent best fit for solving their problem.

This also eliminates the need for customers to repeat themselves at each step of the way. Instead of having to explain their situation to the call router and then again to the service agent, the chatbot hands off the messages to the human agent. The agent already knows the problem and can start searching for a solution right away.

6. Reschedule appointments.

Appointment scheduling and rescheduling is a time-consuming and frustrating process. Chatbots can help you reduce delays, ensuring customers avoid back-and-forth emails and long hold times just to move an appointment.

With Quiq business messaging, you can present customers with available dates and times. Customers can choose and confirm a date from available calendar options.

A support chatbot with the right integrations can help present customers with available dates to choose from and schedule the selected appointment.

7. Collect feedback for even more improvement.

Businesses shouldn’t underestimate the power of feedback. Believing you know what customers want and actually asking them can lead to completely different results. Yet, the biggest roadblock to collecting feedback is distributing the survey at the moment when it counts.

A support chatbot can ensure every customer service interaction is followed up with a survey. You can program the bot to send unique surveys based on the conversation and get specific feedback on the spot. Collecting that survey information and putting it into place will help your team improve.

Take the Leap with Quiq.

Implementing customer service chatbots within your organization may seem intimidating now, but Quiq can help you navigate it. We can help you orchestrate bots throughout your organization, whether you need one or many.

With Quiq, you can design conversational experiences your customers will love. Once you create a bot, you can run it across all of our supported channels to deliver a consistent experience no matter where your customers are.

5 Tips for Delivering Exceptional Real-Time Support to Customers

Posted on January 2, 2023August 15, 2025 Max Fortis

How often do you talk to your customers in real-time? Playing email tag or seeing customer comments pile up on social media frustrates customers and support agents alike. It drags out conversations, delays customer solutions, and puts undue stress on your team.

With the rise of digital technology, businesses have a plethora of options for connecting with customers. But nothing compares to the immediacy and personal touch of real-time support.

Whether through live chat (also known as web chat), phone support, or social media, customers prefer (and often expect) immediate responses. In fact, Zendesk’s 2022 CX Trends Report found that 76% of customers say they expect to engage with someone immediately when contacting a company.

In this article, we’ll explore the benefits of real-time customer support and share tips to help you deliver it effectively.

Benefit #1: Increased customer satisfaction.

It’s no secret that modern customers expect immediacy, from same-day shipping to instant test results. The same goes for customer service. When customers have a problem or question, there’s no substitute for real-time conversations.

Here are a few ways real-time support increases customer satisfaction:

Customers get quick solutions.

Waiting 1–3 business days for an answer to a simple question is frustrating. What if a customer is buying airline tickets as a last-minute holiday gift, but they’re not sure if the tickets are transferable? Customers aren’t going to wait for an emailed response. They’re just going to go elsewhere.

Complex solutions get solved in one interaction.

Complex problems can drag out over asynchronous communications. From explaining the problem, finding a solution, and follow-up questions, it can take days for a customer problem to get resolved. Real-time support lets customers ask questions, test your solutions, and ensure they get their problems solved in just one interaction.

It’s easier to make connections in real time.

Making connections with asynchronous messaging is absolutely possible, but it’s easier to do over real-time online communication (and phone). A conversational cadence is essential when building rapport, and it’s easier to judge a customer’s mood when basing it on real-time information.

Benefit #2: Boost sales and customer retention.

There’s no denying that satisfied customers are more likely to buy from you again. Customer service has a big impact on buying decisions, whether it’s great customer service or bad customer service.

According to Zendesk, 61% of customers will defect to a competitor after just one bad experience—and 76% of customers are out the door after two. We don’t just underestimate the impact bad customer service has on sales. We also underestimate just have valuable good customer service is. Zendesk also found that 90% of customers will spend more with companies that personalize customer service.

Benefit #3: Enhanced reputation.

Real-time customer service can also help prevent negative reviews. When customers have an issue with a product or service, a quick response from your support team can turn a bad experience into a good one.

Your customer service itself can also have a big impact on your business reputation. Consider highly unpopular cable companies (that shall not be named). Their poor customer service, which includes long hold times and an unwillingness to value existing customers over new ones, was only tolerated because there were few options available. Now, more customers are cutting the cord and avoiding having to deal with cable companies altogether.

Embracing real-time support—and doing it well—improves your reputation and makes it easier for customers to choose to do business with you.

Benefit #4: Gain a competitive advantage.

In our increasingly digital world, it’s getting harder for customers to differentiate businesses from their competitors. Price and convenience are often the deciding factors for customers. But delivering outstanding customer service in real time can make you stand apart from the competition.

You’ll give customers peace of mind knowing that your team is available to answer questions as soon as they come up. There’s no waiting, back-and-forth, or fruitless searching for information. You’re there when customers need you.

5 tips for enhancing real-time support.

Implementing real-time customer service is a big task, and going from zero to 60 is a lot to ask of your team. Start slowly, and use these tips to enhance your live support as you go.

Prepare support agents for real-time conversations.

Making the switch from email conversations to real-time support can be intimidating for your customer service team. They’ll be expected to quickly assess situations and provide solid solutions.

Spend a little more time training agents in conflict resolution, empathy, and improvisation. They’ll be better prepared than simply memorizing product knowledge.

Contextualize interactions.

Real-time customer support, whether online or over the phone, brings some unique challenges—mainly, getting customers the right information at the right time. In order to personalize the conversation and provide unique solutions to customer problems, your support agents need easy access to information.

From customer data like previous purchases and support history to product information, support agents need to be able to gather information quickly. Ensure they have a customer relationship management system or conversational platform they can pull from to solve unique customer problems on the first interaction.

Implement live chat on your website.

The key to real-time online communication is making it easy and accessible. While phone support is a good option for traditional businesses, there are many barriers that can prevent customers from having a good experience. Long wait times, a lack of visuals, or even social anxiety can make customers avoid phone conversations altogether.

Adding live chat software to your website with a communications platform is the best way to get started. Customers can reach out for immediate support whenever they’re having difficulties, and they won’t have to wait on hold.

Provide agents with the right tools.

Look for phone and web chat software with robust features to help your agents succeed. Quiq provides features like sentiment analysis and AI-powered text prediction to help agents with real-time online communication.

Customers get fast answers to their questions, and agents feel better prepared to answer complex questions on the fly.

Consider chatbots to support your team.

Offering real-time customer support means you have to make a few important decisions. Are you going to hire agents around the clock to provide 24/7 service? Will you set real-time service to business hours? What will you do during peak service seasons?

A great option to support your team, without making them work 24/7, is to add chatbots into your agent mix. Chatbots can help answer simple questions while your customer service agents are unavailable. They can even help agents be more efficient by collecting customer information upfront.

Collect customer feedback.

The best way to make live chat work for your customers is to continuously ask them how to improve it. Send surveys immediately after conversations to help you assess how your customer service agents are performing, what you can do to make it better, and how you can better personalize the experience for each customer.

Real-time support is the way to go.

Real-time support is a crucial component of your overall customer experience. There’s a place for asynchronous communication—but it takes a healthy mix of that and real-time support to serve your customers. By following best practices and continuously looking for ways to improve, you can ensure your team is providing top-notch, real-time service to your customers.

How to Use Live Chat Throughout Your Customer Journey

Posted on July 22, 2022July 10, 2025 Max Fortis

How do you connect with customers throughout their purchase journey? Are you using live chat at every touchpoint?

Many businesses see live chat, also known as web chat, as just another tool for your customer support center. Leaders may see it as a necessary expense in order to connect with today’s online customers.

But live chat is so much more than that.

Let’s take a look at how you can use live chat at every stage of the customer journey.

What is customer journey mapping, anyway?

Customer journey mapping is the exercise of laying out how customers engage with your business before, during, and after they make a purchase.

Traditionally, it consists of five stages.

Awareness
Consideration
Decision/acquisition
Retention
Advocacy

In the stone age—that is, back before the age of the internet—consumers would identify a problem, see an advertisement, compare prices, walk into a store, and make a purchase. If they liked the product or the store, they would make frequent trips back and tell their friends about it.

Things are a little more complicated these days. While today’s customers follow a similar path, a few things have changed. Customers often move back and forth between each stage, with many smaller steps in between.

The biggest change is that now your website is the main hub—and it has to do a lot more of the heavy lifting. It’s where you drive all your traffic, convert customers, and impress them enough to come back. It has now become the main pillar of your customer journey.

When mapping your customer journey, your goal is to get people to your website and serve them to meet their current stage. That’s where live chat comes in.

Serve customers at every stage of their purchase journey with live chat.

Live chat typically lives on the bottom right corner of your website, and it can follow customers as they navigate across pages. Based on which pages they spend time on, you can craft unique messaging (using live agents or chatbots) to target where they are in their customer journey.

And it’s vital to meeting today’s customer expectations. According to Salesforce’s State of the Connected Customer report, 83% of customers expect to interact with someone immediately when contacting a business.

Instantaneous messaging channels like live chat satisfy that need for instant answers.

Let’s take a look at how you can incorporate live chat into your customer journey.

Be helpful during the awareness stage.

The awareness stage is all about customers realizing they have a problem and that there’s a solution out there to solve it. For retailers, this could be as simple as a customer who’s suffering in the heat, so they realize they’re ready to buy an air conditioner.

They likely don’t know what kind, their budget, or where, but they know they want one.

Maybe they searched for top air conditioners and found themselves on your website. While some businesses may see them as a lead to be captured, their not at that place yet. They are simply gathering information.

For customers in the awareness stage, live chat is best spent welcoming a customer and directing them to various resources on your website.

The best way to do that? With a chatbot.

How to loop in a chatbot: At this stage, it might not be feasible for agents to dedicate their time to answering broad questions. Leverage a chatbot to welcome newcomers to your website and direct them to informational resources—like your knowledge base, blog posts, or frequently asked questions.

Quiq’s AI chatbot helps resolve 80% of inbound inquiries, freeing up your customer service agents to spend time farther down the customer journey.

Wow them at the consideration stage.

At the consideration stage, your customers have likely narrowed down the competition but haven’t made a decision yet. Maybe they know they’re going to Hawaii but are still considering whether to go to a boutique hotel or stay at an Airbnb. Or perhaps they’ve selected an island and just need to pick between the swath of available resorts.

This is the point where you need to stand out. Customers are looking to narrow down their options. If you don’t impress them right away, you won’t make the shortlist.

Proactively engage with customers using live chat to help them navigate your website. Ask them questions to gauge their needs and direct them to the appropriate high-converting pages.

How to loop in a chatbot: When customers reach the consideration phase, they’re closing in on making a purchase. While it’s a good idea to engage live agents to help customers one-on-one and close the deal, a chatbot can help get the conversations started. Design the bot to answer simple questions and direct customers to an agent for more personalized help.

Push them over the decision hump at the acquisition stage.

You’ve made the shortlist—heck, you’re probably #1 on that list—and the customer is *this* close to making a purchase. This is when your live chat function is crucial.

Make sure your live chat is visible and engaging with users at key points in the decision-making process. For example, be available when customers get to their cart. That’s typically when they have last-minute questions, and any clicking away from that page could interrupt their momentum.

Here are a few ways you can entice buyers with live chat at the decision phase:

After answering a few product questions, suggest a product demo.
Remove friction by ensuring easy access to frequently asked questions.
Offer personalized incentives on the purchase page.
Loop sales team members into live chat conversations.

How to loop in a chatbot: Program engagement triggers that start with your chatbot. If a customer has been stalled in their cart for more than three minutes, send in a bot to answer those hesitations or offer them a well-timed discount code. If a user has bounced around between pricing tiers, send over a blog post that helps them compare. Figure out which obstacles are in your customers’ way and use automation to help get past them.

Increase retention with always-on support.

Customer retention is all about meeting expectations. Did the customer get the results they expected from your product or service? Did they have the experience they were hoping for?

Great customer service is the best way to improve customer retention—and live chat makes that happen with speed and accessibility.

Think about the last time you needed customer service. Chances are, you were in the middle of something and needed immediate help. Your customers face the same hurdles. They’re implementing your software and run into a roadblock. They have to reschedule a guided kayak tour and can’t remember the policies.

Whatever the case may be, stopping for a phone call or waiting hours (or days) for a return email stalls their momentum and complicates their customer experience. Live chat makes it easy for customers (whether they’re in the middle of making a purchase or actively using your product or service) to get quick answers. Quick answers lead to higher customer satisfaction and a better chance they’ll come back for repeat business.

How to loop in a chatbot: Always-on support isn’t realistic without the help of chatbots (unless you hire a lot of agents to cover your chat 24/7. Use a chatbot to respond to customers when your agents are out of office. At the very least, you can design conversations that collect information for agents to respond to when they’re available. You can also have bots walk customers through troubleshooting, answer simple questions, and direct them to helpful resources on your site.

Make advocates out of all your customers.

Not every customer will become an advocate for your company, but you should certainly do everything in your power to encourage it. And live chat can help you do just that.

Since live chat is…well, live…it’s a great tool to encourage in-the-moment reviews and survey responses. Make it easy for customers to leave reviews by including it right in the conversation so they never have to leave the chat.

How to loop in a chatbot: Chatbots are ideal for this task. After your live agent finishes helping the customer, hand off the conversation to a chatbot to collect feedback and encourage reviews.

Embrace live chat in the customer journey.

It’s easy to see live chat as just another support tool. It functions a lot like phone conversations in your call center—and you probably use the same people to staff it. But with the right tools and strategy in place, live chat enhances every stage of the customer journey.

How Messaging Helps Hospitality Get Personal

Posted on June 15, 2022July 10, 2025 The Quiq Team

The hospitality industry is, by nature, a very human business. Whether you’re in hotel and lodging, travel and transportation, food and beverage, or recreation, hospitality is all about creating a unique and personal experience for your guests. Have you considered how technology like SMS hospitality messaging can actually make guest experiences more personalized?

While technology has changed the game, it can sometimes feel antithetical to the warmth the hospitality industry is beloved for. However, when messaging tech is used correctly, it helps you do what the hospitality industry has always done best: Make human connections.

SMS hospitality messaging connects you to guests on their terms.

It’s exactly for this reason that messaging can help transform the customer experience by giving service providers a way to connect and engage with guests in an easy, convenient, and preferred way.

There are major opportunities to leverage SMS hospitality messaging in a way that doesn’t detract from the human connection—but adds to it. Messaging liberates guests from standing in line, waiting for an email, or sitting on hold.

In this article, we’ll explore how you can use SMS hospitality messaging to connect with customers and personalize the industry.

High tech and high touch.

Providing a memorable guest experience is part physical and observable. What thread count are the sheets? What’s the ambiance of the restaurant (do they have table cloths and sommeliers or barstools and air hockey)?

The intangibles are just as important to the overall experience—the care and attention of the staff, the ease of changing bookings, how payments are handled, etc. These smaller details are often your differentiators and play a big factor in how you make your customers feel.

SMS messaging can make all the difference. Instead of forcing customers to stand in lines, wait on hold, or hunt down information on in-room pamphlets, you can bring the service to them.

In fact, guests now expect it as a standard part of their hospitality experience.

The COVID-19 pandemic caused major disruption in the hospitality industry.

While travel is starting to return to 2019 levels (along with occupancy rates and room revenue, according to Accenture), it has permanently influenced customer expectations.

There are fewer business travelers, more local vacationers—and more digital nomads. This is reshaping the hospitality industry in everything from loyalty programs and digital amenities to a demand for SMS booking.

And customer service has only increased in importance.

Accenture’s Life Reimagined report says 53% of consumers think customer service has become more important than price—and 54% of consumers believe it will continue to be so over the next 12 months.

Transparency, clarity, and simplicity have become top decision drivers. More than half of customers who have reimagined life due to the pandemic say they would switch brands if the brand doesn’t create clear and easy options for contacting customer service, according to Accenture’s report.

For hospitality, text messaging is a natural step toward delivering high-touch experiences. Customers are already using their mobile devices to find fun things to do (70%), research destinations (66%), and book transportation or airfare (46%).

With so much emphasis already placed on mobile, a move to messaging is a natural and organic option that customers are likely already looking to do. Continuing to use customers’ mobile devices throughout their stay just makes sense.

In fact, messaging can enhance the customer’s experience across the entire guest journey.

Tap into the power of SMS hospitality messaging.

Messaging allows you to connect and engage with guests in a way that is already an important part of how they communicate daily.

SMS text messaging upgrades your customer communications with more than simple text conversations. Rich messaging brings the hospitality experience to your guests long before they reach your doorstep. With rich messaging, you can:

Process secure transactions, from SMS booking for hotel rooms and excursions to in-room upgrades and payments.
Send reservation reminders, confirmations, and up-to-the-minute notices.
Increase guest excitement with content like images, GIFs, videos, and more.

Easy ways to start using SMS/texting in hospitality.

Getting started with hospitality text messaging may seem overwhelming at first, but there are many ways to introduce it into your existing customer journeys.

Here are some examples of ways you can use SMS hospitality messaging to elevate experiences in hotels, restaurants, and recreational activities.

SMS for hotels.

Answer pre-booking questions. While your website is a great booking tool, nothing beats one-on-one conversations. Your guests may have simple questions about things like early check-in or room preferences. Messaging helps you address these questions quickly and secure the booking right from your customers’ text messages.
Use SMS booking. Schedule stays and process payments right from SMS/text messaging using rich messaging features. Your guests can book their trip right from their phones without ever having to make a phone call or wait on hold.
Get guests excited about their stay. Your guest experience begins before they even arrive. Build the anticipation with a welcome message, semi-personalized itineraries, and local sites and events. If you know guests are there with children, send them itineraries that include amusement parks, a trip to the local zoo, or some family-friendly live shows. For couples on a romantic getaway, suggest date night ideas, local spas, or more secluded beaches. Sending a text message with these personalized touches will go a long way to build excitement and make guests feel welcomed.
Streamline the check-in process. While we love vacations, traveling to get to them is another story. And it’s only gotten worse in the last few years with travel restrictions, fewer flights, and more crowds. When travelers finally reach their destination, they’re tired, frustrated, and likely want as little interaction as possible before reaching their beds. (In other words, they’re 3 of Snow White’s 7 dwarves: Grumpy, Sleepy, and Bashful.) Have guests complete the check-in process through SMS messaging so that all they have to do when they get to their destination is pick up their key. Digital keys are also becoming more popular and complete the contactless check-in experience.
Handle in-room requests. Instead of forcing guests to decide between the front desk, guest services, maid services, and other departments on the hotel phone (not to mention waiting on hold), centralize in-room requests via SMS/text messaging. Quiq’s clients, including those within the hospitality segment, have found that servicing customers via messaging has reduced service costs and work time and increased customer satisfaction scores by 5–10 points.
Close out stays with a bang. Offer a contactless checkout, removing the last bit of friction guests face as they leave your hotel. Plus, give them one final reminder of the excellent service and attention they received with a thank you message.
Ask for reviews. If you’ve given the guest a memorable experience, they may be enticed to share it with others and become your brand ambassador.

Today, reviews are a critical part of the buyers’ process, and word of mouth can build or block that path to purchase.

Not only is this a great opportunity to instantly address any negative feedback, but you can also send exclusive offers and discounts to encourage guests to come back.

You can also encourage guests to share their positive comments about your business with their social networks.

SMS for restaurants.

Accept reservations. Use rich messaging features to schedule reservations right from your guests’ mobile phones.
Send reservation reminders. Help customers remember the reservation they made (especially if you’re booked out for weeks) with a friendly reservation reminder. A text message won’t get lost in junk mail, and you’ll decrease no-shows. SMS hospitality messaging to the rescue!
Enable easy cancellations and rescheduling. Instead of holding a table for no-shows and missing out on potential revenue, give guests an easy way to cancel or reschedule their reservation ahead of time. They’ll be happy with the streamlined customer experience, and you’ll be able to fill those seats with last-minute reservations and walk-ins.
Provide directions and parking information. Sure, everyone has Apple Maps or Waze, but parking can be a beast if you live in a high-tourism city. Add a link for directions and parking information to your appointment reminder to ensure your guests make it to your restaurant.
Streamline take-out orders. Take-out has grown in popularity over the last few years. Since the COVID-19 pandemic, even fine-dining restaurants have jumped in on the action. 54% of adults say purchasing takeout or delivery food is essential to the way they live, including 72% of millennials and 66% of Gen Z adults, according to the National Restaurant Association’s 2022 State of the Restaurant Industry report. Use SMS/text messaging to confirm you’ve received an order, that it’s ready for pickup, or that it’s out for delivery.
Ask for reviews. Restaurants live and die by their online reviews. Encourage guests to leave feedback on a popular review site and offer them an incentive. If you’d rather collect feedback directly, send them a link to a survey and be sure to answer any questions and address concerns quickly.
Get the opt-in. SMS marketing is a great way to connect with customers, and the open rate for text messages often far exceeds that of email.

Ask for permission to send marketing messages, then craft a strategy that personalizes offers and earns repeat business.

SMS for recreational activities.

Book through text messaging. Rich text messaging is a simple way to answer questions, book a reservation, and securely collect payments all in one place.
Take special requests. SMS/text messaging is a convenient and private way for guests to ask about special accommodations like wheelchair accessibility, assistance for people who are hard of hearing, or private tours.
Send links to helpful information. Don’t send guests hunting for information on your website. Send them links to details, like what type of attire participants should wear, dos and don’ts, parking information, and more.
Send reminders. Email reminders get lost in all the itinerary bookings (and junk email) your customers are likely dealing with. Send reservation reminders and any up-to-the-minute notifications via text messaging.
Suggest their next adventure. SMS messaging is a great marketing tool for small business operators, like tour guides, but it’s also easy to scale for larger operations. Once your guests have finished their activity, use text messaging to suggest their next adventure.

If they took a ghost tour of downtown, offer suggestions to other haunted hotspots. If they went on a guided hike, suggest kayaking or another outdoor activity. Personalize messages and include timely discounts to increase the next booking.

Disrupt with SMS hospitality messaging or be disrupted.

The time for hospitality text messaging is here. There’s endless opportunity for hotels, resorts, restaurants, and others within the hospitality segment to simplify and personalize the customer experience.

With new expectations born from the pandemic and an ever-increasing number of millennial and Gen Z travelers, it’s even more critical for the hospitality industry to embrace text messaging.

At Quiq, we help companies in the hospitality industry (and others) engage with guests in personal and meaningful ways. Our Conversational AI Platform makes it easy for customers to connect with your business, so you can provide the information they want in the way they want to receive it.

Connect with customers—and let them connect with you—using Quiq.

Omni-Channel Customer Service

Posted on May 1, 2022October 1, 2025 Mark Kowal

Omni-Channel Service: The Customer-Driven Path Forward

The Omni-channel experience has been hailed as the Holy Grail of customer service for a great reason. It provides the highest level of seamless, personalized customer experiences.

Studies have shown that companies with an omni-channel program enjoy 24% greater annual returns in company revenue and a 55% decrease in the number of customer complaints. As stated by Aberdeen: “Omni-channel programs are not hype or a temporary best practice. When implemented properly, omni-channel serves as a key long-term differentiator.” All the evidence points to the fact that the omni-channel experience is a “must have”, not a “nice to have”. However, it is important to note that less than 1% of all organizations have deployed an omni-channel customer service strategy.

Focus on What You Can Control

Tip 1: Present a Unified Front

Customers don’t see a company as individual departments, but an overall brand. They expect consistency in their experience, whether their issue is about the latest sales promotion or dealing with a support complaint. In order to provide the best customer experience, it is imperative to eliminate silos. Make sure the lines of communication are open internally and that departments share the common systems, goals, and metrics. Providing your frontlines with the authority to do what is in the best interest of the customer and company will ensure small issues don’t blow up into social media nightmares. A unified and consistent approach to service will be a significant step forward to improving the customer experience.

Tip 2: Quality First, More Channels Second

Of course customers want you to be where they are, but it is counterproductive to be somewhere and not effectively serve your customers. A prime example of this is live chat. While a growing number of companies are offering chat, a good channel option, it must be resourced correctly. In many cases, customers have to wait for an agent to join a chat session, or they receive the dreaded “Not Available” screen, or they start a chat conversation and walk away from their computer for a moment only to come back and find the chat closed. All this showcases that companies are not efficiently managing resources and are spreading themselves too thin. Customers can forgive you for not offering a channel at all, but they won’t forgive bad service on channels you do offer. The lesson here is that customers do not care about the breadth of your “omni-ness”, but rather about the quality of the service delivered. It’s better not to be in a channel at all if you’re not able to do it well.

Tip 3: Pick the Right Channels

More channels do not necessarily equal greater success. However, being in the right channels for your customer, does. Make sure you know which channels your customers want to engage you on and focus on those first. How do you know the right ones? Do you keep phone support, cut email support, and add messaging? Study your customers. Understand not only their age demographic, but also how and when they typically try to connect with your organization. Other option is to just ask your customers! Based on that valuable insight, focus on the channels where you know your customers are most active and would benefit from direct, two-way customer service messaging with your company. Then, make sure you staff, resource, and empower your employees in those channels to best represent the brand.

Tip 4: Quality Service Over Quantity

Many companies are subscribing to the philosophy that more channels are better. Too many channels actually strain resources. A Harvard business study reveals that customers are actually very flexible; few customers care about the means they use to engage companies. Most choose to make contact through whatever channel they perceive best meets their needs for the specific task. In fact, the same Harvard study found that only 16% of customers are “means-focused” (committed to a certain channel of preference, regardless of rather it fits the task), while 84% of customers are “ends-focused” (focused on solving their issue, regardless of the channel used). So, limit your customer service channels to the ones you can support well. Once again, customers can forgive you for not being there, but they won’t forgive a bad customer service experience.

Tip 5: Try New Channels

While the phone remains the go-to communication method of choice for some difficult or urgent use cases, text messaging and Facebook Messenger channels are fast gaining acceptance, and not just with millennials. All age groups are using SMS/text messaging more than ever. In fact, the fastest growing channel is “text messaging”. A recent Forrester study highlights that “The pervasiveness and familiarity of text messaging makes it an ideal channel to win, serve, and retain customers who require assistance from a contact center agent.” Consumers agree. In one study, 66% of respondents said that one of the reasons they preferred to send a text to a company’s customer service department was because it was less time-consuming. In addition, 42% said they preferred to do so because it was more convenient than using the telephone, and nearly a third said that sending a text was less frustrating than calling the company.

Summary

While the omni-channel experience may be the holy grail of customer service, the true prize is a loyal customer. The priority should always be to provide a helpful, positive experience that will enhance the relationship with a customer. Therefore, continue striving for customer service excellence. Dedicate the resources, embrace relevant new technologies, and know your customer’s channel preference. The investment will ultimately be worth it.

7 Ways to Get Ahead of Holiday Customer Service Issues

Posted on November 16, 2021July 10, 2025 Michael Hartsog

Do you hear that? The tingling of bells… The unpacking of thousands of twinkling lights… the entire retail industry taking a deep breath in anticipation of customer service issues…

While everyone is jumping for joy at the coming holiday season, you’re a little less enthused. You know that while it’s lucrative, it’s also extremely tough on your customer service team.

The holiday shopping season is basically here, but there’s still time to get ahead of the avalanche of customer service issues that await you.

40% of retail executives expect double-digit online growth.

Between pandemic pressures and logistical issues, this year might be tough. Even though brick-and-mortar stores will see more business than in 2020, shoppers continue to do most of their shopping online. 40% of retail executives expect double-digit online growth, according to Deloitte’s 2021 holiday retail survey.

This could put even greater stress on your customer service team. Now’s the time to come together and strategize the next few months with your team.

Keep reading for seven key tactics to get ahead of the customer service holiday rush.

1. Start preparing now

So, the holiday shopping season has effectively started.

With inventory and shipping delays, shoppers are worried about getting their holiday gifts in time this year. According to Deloitte, 68% of shoppers plan to shop before Thanksgiving this year, compared to 61% in 2020.

Of those looking to start shopping earlier this year, 49% cite potential shipping issues, and 47% say stockout issues are responsible for their early-bird habits. With holiday shopping already underway (and the cash register already chiming), the support messages will be a-ringing

If you haven’t already seen an uptick in customer support issues, you’ll likely see it soon. This means you need to start preparing now. With just a few weeks before we’re deep into Christmas cheer, any strategies you plan to implement must be simple and work seamlessly into your existing workflow. Whether you need to scale up your team or invest in technology, you’re running out of time.

2. Strategize based on last year’s performance

It’s easy to get through a holiday season and never look back. You’re tired, your team is exhausted, and you have another year to plan for. But now’s the time to (quickly) pause and reflect.

Take another look at last year’s numbers. What can you learn from them?

Customer service KPIs

Revenue: Was last year a high-performing year for the business? Use this along with market indicators for 2021 to predict how busy the holiday season will be.
CSAT: How did your team perform last year? If you had high customer satisfaction scores, continue putting effort into your current strategies. If customer satisfaction dipped over the holidays, identify the contributing factors.
Wait times: How long did customers have to wait to connect with a customer service agent during your heaviest service windows? If your wait times suffered, see what processes you can put into place this year in order to save some time. Be upfront with your customers about their expected wait. You may need to hire more staff to cover the extra volume.
Popular platforms: Which platforms received the highest volume of customer support issues? Did you receive a lot of Facebook messages? Email questions? Prioritize resources and training for the types of communications with the most action.

Take a second to look at this information and see what insights you can extract from last year’s data. It’ll give you a great starting point to help you build your 2022 strategy.

3. Improve your knowledge base

Sure, not all customers will bother searching for the answer to their questions before reaching out to your overwhelmed customer service team. But some will. And some even prefer it over chatting with a team member.

Add seasonal information to your knowledge base to help answer frequent holiday-themed questions. Add articles on Black Friday, holiday shipping, your return policy, upcoming deals, holiday service hours, and any other questions you can get ahead of.

If you haven’t built out your knowledge base yet, a simple homepage banner and/or link in the footer can work in a pinch. Even if only 5% of customers view this information, that’s 5% fewer conversations your team must navigate.

4. Make your return policy easy to find

The holidays already inspire more returns, and online shopping just adds to the mix. While some online retailers like to hide their return policy as an (ill-advised) strategy, customers notice—and it might just turn them away.

More than a third (34%) of consumers surveyed by PowerReviews say that refund and return policies will have more impact on their holiday purchase decisions this year. Even more indicative of the current shopping landscape, 44% said return policies even influence which gifts they purchase.

So making your return policies easy to find and easy to navigate benefits your team two-fold: It can prevent customer service issues and potentially increase sales.

5. Provide holiday training

The holiday rush can get the best of even your most senior support staff. During a good year, customers are stressed and in a hurry to buy their gifts and refocus their energy on their families. And this year… It’s even more brutal.

Combine 18+ months of pandemic fatigue with the inventory shortages and delivery delays, and you get customers with a much shorter temper. And according to Deloitte’s survey, 21% of consumers hold retailers and sellers responsible for delays, which could make for some very aggressive conversations.

This is a great time to get the team together for a short refresher. Remind your team that they’re valuable, but also reinforce your customer sensitivity. Some patience and compassion will go a long way to elevate your customer experience.

6. Embrace automation

One of the best ways to support your team is with automation—and no, that’s not a dirty word.

You can use chatbots and AI in a variety of ways to reduce the burden on your team and increase customer satisfaction while maintaining a human connection your customers crave.

Here are some ways you can integrate automation into your holiday customer service strategy:

Answer simple FAQs
Route questions to the appropriate department
Suggest similar items to those in your customers’ carts
Estimate shipping times
Notify website visitors of specials, deals or delays
Tell customers when items they’ve viewed are back in stock
Gather customer feedback

There are endless ways you can integrate chatbots and other automation tools into your customer service tech stack. The goal is to simply solve issues at scale without burning out your support team.

7. Prep your social media team

It’s vital that you take a look at all your customer service channels before the big holiday rush begins—especially social media.

Sprout Social predicts an 18% increase in average social media messages in November and December this year. This includes Facebook, Twitter and Instagram, with the latter expecting the most significant holiday boost at 44%.

Enterprises see the biggest social media message jump over the holidays:

Small businesses: 15%
Mid-sized businesses: 12%
Enterprises: 23%

These numbers tell us you can’t forget to include social media in your holiday planning. Customers flock to social media for gift guides, influencer suggestions, and more, so it’s vital you meet them where they are and provide optimal customer service.

Provide your social media team with training to assist customers.
Write a script for commonly asked questions and standard responses.
Share a routing map with them so they know which team member to send which issues to.
Create an elevation plan for when issues need to be taken up the ladder for resolution.
Assign customer service team members to manage your social media inbox.
Set up auto-responses that are tailored to frequently asked questions, such as “Where’s my package?” and “What’s the return policy?”

Since social media platforms are highly visible, it’s important to service these questions thoroughly and quickly to improve customer satisfaction.

Holiday shopping is already here

Your window for getting ahead of the customer service rush is quickly closing. With holiday shopping already starting, the pressure on your team is mounting.

When you work in e-commerce, it takes grit to get through the holiday season. With the shopping window getting longer and pressures getting higher, it’s going to be extra tough to solve customer service issues with a smile.

We hope these strategies help you put together a concrete plan so you and your team feel more prepared and more confident in tackling the rest of the year.

More than just streamlining work processes, don’t forget to take the time this season to show your team how much you appreciate them. Be sure to show your support throughout the holiday season.

Get ahead of customer service issues with Quiq

When you need help connecting with your customers across multiple messaging platforms, Quiq can help. Quickly get up and running for the holiday season, integrate with your CRMs, and build messaging trees to elevate your customer experience instantly.

5 Examples of Omnichannel Strategies That Will Boost Your Holiday Sales

Posted on October 20, 2021July 10, 2025 Mark Kowal

This year, holiday shopping will be more digital than ever before. As consumers continue their shift to online channels and major retailers cancel in-person Black Friday sales, brands must quickly adapt through new omnichannel tactics that capitalize on surges in online traffic. Here are five strategies for doing just that.

5 Examples of Top Retailers with Brilliant Omni-Channel Strategies For Holidays

1. The Gift Recommendation Engine – Guided Selling

Digging through endless product listings, looking for the perfect gift, is a tedious and challenging process for holiday shoppers.

However, AI-powered assistants, used by leading brands like Nike Jordan and Lane Bryant, make it easy and frictionless for shoppers to find the precise gift for their recipient.

Deployed on your web site, in apps, or social channels like Facebook Messenger or SMS, these intelligent automated agents can quickly interact with users and recommend some great options:

Earlier this year, one of our customers, an Iconic jewelry brand did just that leading up to another gift-heavy holiday: Valentine’s Day. In previous seasonal campaigns using Facebook Messenger, the retailer’s social managers and sales associates were swamped with the need to respond to customers’ inquiries.

To address this, the retailer deployed an AI-powered conversational shopping feature on Messenger that made personalized gift recommendations at scale. They quickly found that consumers were 4X more likely to make a purchase when they receive such guided sales assistance, compared to those who are unassisted.

By clicking on a social ad, shoppers were seamlessly guided to Facebook Messenger and offered a brief interactive quiz with gift recommendations based on who the gift recipient was, the gender and the price range, selected from a group of products chosen by the retailer for those profiles. The AI-powered assistants also handled free text queries, and customers could shop for products online at the retailer’s site or find the nearest physical store.

We’ve all had that experience when shopping for a friend, where you discover a product or item that you’d prefer to be on the receiving end of rather than giving. To address this, the iconic retailer also provided shoppers the option to send their friends and family links and images of on Messenger gifts that they want for themselves, accompanied by a small note: “Hint hint…This is at the top of my wish list.”

The results: Half of the quiz takers received a gift recommendation, leading to a 28x return-on-ad-spend (ROAS).

And, because AI-powered assistants love to work all the time, they also helped relieve customer service by efficiently handlings FAQs.

2. Gift FAQ & Customer Service Engine

Gifts purchased over the holidays are wrapped not only in ribbons and pretty paper but are enveloped in countless questions about sizes, style options, and prices. The season of joy is also the season of customer service, a stressful time for brands to handle the massive volume of inquiries.

In fact, 54% of customer service requests are taking place outside regular business hours. A vast number of those requests are happening on messaging platforms since those are channels that consumers already use.

That’s where conversational AI comes in this holiday season. Intelligent chatbots work diligently and accurately day and night, providing a front line for all queries from customers and passing on some queries to human agents only when they get too complex. This allows your team to focus on driving sales and new purchases instead of an endless queue of customer service inquiries.

3. Digital Holiday Coupons

One of the best traits of intelligent chatbots is that they never get tired of pointing out the great holiday offers you have. This means that brands can reinvent promotions.

Regional grocery chain H-E-B did just that with their conversational AI. The grocery reinvented discount coupons by delivering them to more than 13 million customers weekly, personalized to the declared shopping needs of the recipients.

Automated notifications let customers browse the deals through button clicks or free text requests, even when they were standing in the store. The open rate for the notifications: 77%. Percentage of opened deals that were saved by users: 70%.

4. Convert Holiday Enthusiasm into Sales

Facebook is a platform designed for engagement and, during the holiday season, that engagement kicks into high gear with shoppers expressing their excitement through post-likes and comments.

This holiday season, Facebook is also offering a nice new gift for marketers. Facebook Messenger is expanding its capabilities to allow marketers to privately message shoppers who have left positive comments on their brands’ posts.

All of those shoppers commenting “this looks awesome!”, “I’ve got to get this for my sister!” can easily be turned from mere commentators into new customers. Combined with conversational AI, this opens up a whole new channel to convert positive comments into sales at scale. See this experience below:

Contact our conversational experts to learn more about this experience.

5. Turn the Holiday Rush into Real Consumer Insights

The rush of consumers during the holidays is like a large polling sample that can provide tons of answers — if brands can only figure out the questions.

A rush of customers looking for this season’s hot gift item, for instance, could answer a number of questions that help uncover and define your target customer persona.

But the trick is efficiently capturing holiday shoppers’ information, at scale, and quickly turning it into insights.

Take California wine and spirits brand E. & J. Gallo Winery. To engage shoppers of their new Rosé product line, they developed “Rosé Your Way” AI-powered experience, which was introduced to consumers via targeted ads on Facebook Messenger, Facebook Newsfeeds, and Instagram.

The digital assistants guided consumers through a series of questions to recommend the ideal Gallo Rosé, followed by personalized content that included the best recipes to go with the recommended wine, and finished with a customer satisfaction survey.

The results: 90% of the 25,000 engaged consumers completed the Rosé recommender. Gallo was able to determine the most popular Rosé flavor preferences, drinking styles, and occasions. When follow-up push notifications were sent based on those preferences, 60% of the messages were opened.

Unwrapping It All

With some planning – and the use of intelligent, automated, always-on conversational helpers – brands can soar through the holiday season by building a dedicated fan base attracted to personalized recommendations, customized deals, and prompt customer service attention.

And, when the rush is over, the brand can quickly assess what worked, what didn’t, and what was missing.

Ready to boost your sales and drive higher performance this holiday? See which strategy is the best fit for your organization. Learn more.

6 Ways to Drive More eCommerce Sales This Holiday Season

Posted on October 14, 2021July 10, 2025 Cristina Bravo-Olmo

This year, holiday shopping will shift to eCommerce like never before. Once again, eCommerce sales are projected to grow this holiday season as consumers continue to transition to cyber-week sales.

To capitalize on this season’s unprecedented spike in online traffic and digital purchase behavior, top eCommerce brands are turning to automated shopping assistants that act as key revenue drivers and provide the sort of highly personalized assistance shoppers would traditionally receive from an in-store experience.

Deploying highly intelligent, automated shopping assistants during peak seasons has proven to increase sales conversion rates as high as 4X.

Here are 6 of the most common ways that leading eCommerce brands leverage automated assistants to drive more revenue during the holidays.

1. Proactive Product Suggestions

Highly-intelligent, automated assistants are capable of identifying shoppers with high purchase intent and proactively engaging them with upsell opportunities that increase Average Order Value (AOV). For example, when online shoppers add new products to their cart, automated onsite assistants can initiate a conversation and suggest additional products that are frequently purchased along with the items recently added to the cart.

Through such highly-personalized engagements, in a conversational format, eCommerce brands can lift AOV while providing convenient suggestions that support their customers’ journeys.

2. Guided Gift Recommendations

For shoppers unsure of the right gift or product to buy this season, automated shopping assistants can provide personalized suggestions that guide shoppers to the perfect holiday present. Automated onsite shopping assistants can deliver unique gift suggestions through a series of quick questions that touch on the shopper’s price range as well as the gift recipient’s gender, age, and preferences.

Automated gift recommendations have been proven to drive 4x higher sales conversion rates across shoppers who engage in guided sales assistance when compared to unassisted shoppers.

3. Simplify Repeat Purchases

eCommerce brands can also leverage onsite assistants to make the repeat purchase process as seamless and straightforward as possible. By developing persistent profiles based on each shopper’s personalized data and repeat site visits, intelligent shopping assistants can proactively initiate new conversations with returning customers looking to make a repeat purchase.

By leveraging personalization data to identify and engage repeat customers, eCommerce brands can significantly reduce friction and provide a premium shopping experience for their VIP and returning customers with high purchase intent.

4. Reengage Cart Abandons

As holiday shoppers contemplate a variety of different offers and products, it’s inevitable for some online purchase processes and shopping carts to be abandoned. By leveraging conversational re-engagements, however, high-intent shoppers can be reminded of products waiting in their carts and be offered special discounts that nudge them into returning and completing their purchase.

By leveraging conversational automation to re-engage abandoned carts, eCommerce brands have been able to effectively recover up to 20% of incomplete purchases with reminders, promotions, and other automated messages.

5. Automate Responses to FAQs

Leading up to the holidays, shoppers have no shortage of questions and concerns related to online shopping, with “will my order arrive on time?” being one of the most frequent. By providing shoppers with automated, 24/7 support that can instantly answer some of their most frequently asked questions, brands can reduce online shopping friction and common barriers to purchase.

Additionally, by leveraging conversational automation to resolve frequently asked questions in a way that is entirely self-service, customer service agents that would traditionally be required to answer these questions can focus on sales-oriented initiatives during the peak holiday season instead.

6. Convert Sales Receipts into Ongoing Channel for Commerce & Care

Lastly, after a purchase is completed, brands can leverage automated shopping assistants to send digital receipts to customers through conversational channels. By doing so, eCommerce brands can convert traditional receipts into a new avenue for ongoing care and commerce.

This post-purchase conversational connection gives shoppers access to an automated channel for order management or to even purchase additional, related products.

Reinventing Online Shopping for the Holiday’s Most Digital Season Ever

The 2020 holiday season will be eCommerce’s most significant moment to date. More than half of US shoppers have indicated that they will not return to shop with a brand following a poor customer experience, so it is vital for CX and eCommerce leaders to deliver the best possible experience during the season’s rush of new online shoppers.

Interested in deploying an enterprise onsite shopping assistant for your brand? Contact us today to learn how you can deploy a bespoke solution for your website and other conversational channels in a matter of weeks.

4 Reasons Why Instant Messaging for Business is Still Crucial

Posted on October 11, 2021August 15, 2025 Max Fortis

Instant messaging has become a ubiquitous part of daily life for the vast majority of us. We send over 40 million messages every minute, and nearly three billion people use messaging apps like Facebook Messenger and WhatsApp.

Naturally, enterprises with contact centers have responded by giving instant messaging for business a central role in their customer-communication strategy.

Today, we will flesh this dynamic out in more detail. This post highlights some of the most significant impacts of business instant messaging’s rapid growth, touching upon the most popular messaging options and discussing some ways it’s changing day-to-day work.

Let’s get going!

Why is Business Instant Messaging Important?

We’ve already noted that people send lots of messages, which is reason enough to pay attention to them. But, in this section, let’s briefly walk through some more granular reasons why customers want to contact your brand via instant messaging for business.

First, instant messaging is rapidly becoming the preferred method for handling most types of communication. If your customers are anything like the rest of us, they’re probably busy enough to enjoy the convenience of resolving issues asynchronously. Nor is this only the case for younger generations. The popular stereotype is that people with gray hair simply don’t like texting, but surveys have found that nine out of ten adults over 50 send text messages with their phones–which means they’ll likely be comfortable sending business instant messages, too.

Instant messaging also helps you build a better experience, which is always a competitive advantage. Instant messaging for business tends to be perceived as less formal than an email or (god forbid) actually talking to a person on the phone, and it also allows you to proactively reach out with updates, to answer questions, etc. Most of these services also support rich messaging, so customers have a much better experience.

Finally, with instant messaging, it becomes far easier to integrate rich messages and generative AI, but we’ll wait to cover that in much more detail later.

What Instant Messaging Platforms are Available?

One last thing we’ll do before discussing how instant messaging is modifying the relationship between businesses and their customers is go through some of the instant messaging platforms businesses use. Here are some of the main contenders:

WhatsApp for Business is a messaging, voice, and video-calling app operated by Meta that enjoys an audience of more than 2 billion global users. Since so many people are already texting on WhatsApp, it’s become a popular channel for companies interested in using it for business instant messages.
Facebook Messenger is another offering from Meta. Customer-obsessed businesses like yours should pay attention to it for many reasons, but, as with WhatsApp, its huge audience is near the top. Even better, businesses that deploy quality automation solutions on Facebook Messenger can answer 80% of inbound customer inquiries and achieve CSATs as high as 95%.
Instagram Messenger is worth exploring because it’s a safe bet that a decent chunk of your audience is already interacting with businesses on the popular Instagram platform. A further point in its favor is that it offers a convenient API that will allow you to set up automation to increase your business’s efficiency.
Apple Messages for Business dramatically increases your customers’ ability to reach you because it offers a “message” icon in Maps, Siri, Safari, Spotlight, or your company’s website, in addition to offering other touchpoints like QR codes. And, as before, the sheer popularity of Apple and its product ecosystem is another reason forward-looking businesses can’t afford to sleep on its instant messaging capabilities.
WeChat is a platform that is extraordinarily popular in China and enjoys more than a billion users. As with the other platforms, there is a WeChat Business offering that allows you to communicate with customers, market your services, and take payments, but to set up a WeChat Business account you have to verify your business license. If you have a large customer base in China, this might be the best option for you.

Of course, there are many other instant messaging for business products we haven’t discussed here, but this should give you an idea of the variety of options available and what’s possible when you invest in them.

The 4 Benefits of Instant Messaging for Business

Now, let’s get into the meat of how instant messaging is changing the business landscape!

1. Instant Messaging is Convenient for Customers

The most obvious place to start is with the major convenience instant messaging for business offers clients.

Customers today seek flexibility in how they engage in personal and professional communication. Businesses need to provide various communication options, including instant messaging, as this offers the asynchronous communication that more and more customers prefer.

Take the example of a customer who initiates a return process during their workday, but can only complete steps, like taking a photo of a damaged item once they’re home. Instant messaging allows for this in a way that phone calls or in-person visits don’t, enabling ongoing conversations that customers can pause and resume as their schedule permits.

2. Instant Messaging Helps Customer Service Teams

So, we’ve established that instant messaging is something customers want. Now let’s discuss why it’s a boon for customer service teams as well.

For one thing, there’s the increase in efficiency, as instant messaging for business enables contact center agents to manage multiple customer inquiries simultaneously. This becomes even more dramatic when automation is used, about which more shortly.

Additionally, instant messaging-based conversations between consumers and businesses simplifies the process of following up with shoppers and keeping accurate data on past communications. When sales or support agents need to have follow-up conversations, they can do so in light of this information, thereby tailoring and personalizing subsequent customer interactions.

When business instant messaging is used to its full potential, it can positively impact your customers’ perception of your brand, which can help close a deal, renew a service, or give potential buyers the push they need to make a purchase.

Put another way: it’s a win for everyone.

3. You Can Leverage The Power of Instant Rich Messaging

Another advantage of this instant-messaging approach is that it enables your contact center to make robust use of rich messaging, which rose to prominence in the early 2000s and is now ubiquitous.

Rich messaging was a substantial advancement over the traditional SMS. Besides allowing you to send much more complex information–such as emojis, high-quality audio messages and video calls, group chats, and GIFs–it also facilitates encryption, superior analytics, and integration with other products.

It’s important not to downplay these advantages. You might initially be reluctant to use emojis in conversations with customers, as this can seem vaguely unprofessional. But the truth is we leave in a less formal age, and speaking the “native language of the internet” by using “lol” and the occasional “ ” will help foster a connection.

4. Instant Messaging and Generative AI

To finish up, we turn to the silicon elephant in the room, generative AI. If you’ve been reading us for a while, you know we’ve had a lot to say about the remarkable power of large language models and how they’re already changing the nature of contact center work.

Well, since these models are largely text-based, instant messaging for business provides an obvious place to use them. When you pair with a high-quality automation platform, you can deploy generative AI to personalize your messages, translate between languages, and even fully answer a wide variety of basic queries–with minimal fuss.

Don’t Sleep on Instant Messaging for Business

As we’ve demonstrated, business instant messaging is a powerful way to reach your customers where they are, fit seamlessly into their lives, and offer a top-notch experience – all while lowering the burden placed on your agents.

As a next step, you might want to learn more about how Quiq enables support through traditional SMS and rich messaging. This should give you everything you need to design a customer experience strategy around instant messaging!

5 Ways Mobile Shopping Is Transforming Customer Service

Posted on August 10, 2021August 16, 2025 Michael Hartsog

These days, the vast majority of consumers have their mobile phones on-hand for every activity — particularly when it comes to online shopping. In fact, it has been projected that purchases on mobile devices will make up the majority of ecommerce sales by the end of 2021.

As a result, mobile shoppers are always looking for easy, convenient, and mobile ways to interact with eCommerce brands through social media and third-party messaging services. This increased channel volume if not managed properly often overwhelms customer support teams, leaving customers frustrated with digital experiences that fall short of expectations and brands struggling to protect their brand image.

On the other hand, consumers’ shift to digital also presents a valuable opportunity for retailers to deliver targeted customer service solutions and enhanced buying experiences that lead to increased conversions and customer satisfaction. Some brands, like TodayTix, have seized the opportunity to provide their customers a more seamless experience.

Here are five ways that customer support has been transformed by mobile shopping and how brands are adapting to ensure that they’re providing the best possible experiences.

1. A Rise in Mobile Shopping Leads to a Rise in Messaging

When it comes to seeking customer service, mobile shoppers leverage a unique set of channels that have required brands to adopt and adapt to. One of the most popular customer support channels for mobile shoppers is contacting brands through third-party messaging services. Today, nine out of ten consumers want to use messaging to communicate with brands and retailers are quickly turning to WhatsApp, Messenger, Google Business Messages, Apple Messages for Business, and more to provide the text-based experiences that shoppers prefer.

Third-party messaging is only second to the most popular channel for mobile customer support — SMS business messaging. SMS provides mobile shoppers with a direct line of communication to a retailer’s support team to exchange information or transactional details.

SMS offers an additional layer of convenience for consumers. With SMS, consumers do not have to be connected to Wi-Fi to have a convenient online shopping experience.

2. Rich Messaging Provides Precise Feedback and Solutions

Mobile shoppers today expect a high level of personalization in both their shopping and support experiences. In order to deliver on this expectation at scale, eCommerce brands leverage rich messaging to provide personalized experiences for each individual shopper. Rich messaging further boosts engagement through dynamic content like quick reply buttons that anticipate the most popular responses, interactive maps, and more.

For example, the Facebook Messenger mobile platform allows business representatives to add images to replies and allow consumers to see a product in question. During these interactions, team members can help consumers complete a purchase, schedule an appointment, or share a link with a preview of a product or service page. Rich media ultimately sends consumers to an ideal destination, faster, for a better shopping experience.

3. Mobile Shoppers Expect Immediate Service on Their Terms

Today’s mobile shopper seeks customer support that is available to answer their questions quickly, at any time of day. Currently, 54% of shoppers reach out to brands during non-business hours over messaging channels like Facebook Messenger and brands are expected to respond in a timely manner.

This cycle of always-on, 24-hour customer service means that support teams can no longer refer to traditional business hours to dictate when their business is open or closed. Customer support must always be “open” or else customers will go elsewhere for their next purchase.

This demand for always available customer support and service doesn’t mean you have to staff your support center 24/7. Many Quiq clients rely on technology to help meet SLA’s. For instance, some clients will only show the live chat icon on their website when there are live agents available to respond. Other brands choose to use automation and conversational AI to help customers with simple, frequently asked questions that can be easily resolved through a bot.

If a shopper needs an answer quickly, they can text an eCommerce business, rather than having to tap through webpages, compose an email, or enter a call queue. Mobile shoppers enjoy the convenience of starting a conversation faster, feel they’re receiving personalized attention, and can reply at the rate they prefer.

4. Demand for More Local Customer Service

While mobile shoppers appreciate support experiences that are both instantaneous and always-on, they also have a strong preference for customer service that can assist them at the local level. Mobile shoppers, for example, often seek information on product availability at their closest store based on their phone’s GPS location.

When mobile shoppers contact customer support, it’s important for both automated and human service agents to be equipped with local store data in order to respond to local-specific inquiries. Channels such as Apple Messages for Business and Google’s Business Messages helps consumers find and engage with your business on a local level. Consumers discover businesses through Google, Siri, or Map results daily with searches like “Tuxedo rental near me”. These channels now offer a convenient way for consumers to initiate a conversation with a location near them via messaging.

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5. Increased Mobile Interactions Lead to Further Customer Insight

Through additional interactions and touch points from mobile devices, brands are enabled to build more detailed and personalized customer profiles to reference. Through customer inputs like mobile numbers and location data, eCommerce brands can create a foundation for more tailored, future engagements. Analyzing a mobile shopper’s purchase history, for example, can inform timely offers in the future to reinforce customer loyalty.

The Most Versatile Platform for Mobile Shopping Customer Service

With its numerous impacts on customer service, there is little doubt that the accelerated pace of mobile shopping will continue to transform the support sector. Adapting to these changes, however, provide significant opportunities for businesses to forge stronger relationships with their customers and build stronger businesses.

Is your brand looking to modernize your customer service experience? Contact us today to learn how to provide diverse and personalized customer service for mobile shoppers.

Business Messages from Google: What it Means for eCommerce and How to Get Started

Posted on July 22, 2021July 10, 2025 Mark Kowal

Google announced the expansion of Business Messages to their Search and Maps products in June of 2020. With this change consumers are provided the option to message brands directly and ask for the information they are looking for when searching for a business on Google. Quiq has learned a lot about how consumers engage with Business Messages. Read on or reach out to learn more.

The Impact of Google’s Business Messages on Customer Experience

First, this opportunity provides a new channel for consumers to connect with brands through their preferred conversational format. According to a recent Twilio study, nine out of ten consumers said they prefer to use messaging when communicating with brands. By automating Business Messages on Google, brands have the opportunity to reroute a significant volume of inbound inquiries through a channel consumers prefer — self-service messaging.

Additionally, brands that automate Business Messages through Google Search and Maps provide their customers a superior customer support experience that is capable of delivering immediate answers and feedback, 24/7. By being available for customers with immediate, around-the-clock support, retailers are able to drive customer loyalty while simultaneously rerouting support issues from call centers to a new, self-service channel.

Retail and eCommerce Use Cases for Messaging Consumers Through Google

Combining intelligent AI and Google Business Messages provides clear value to eCommerce retailers through three primary use cases:

1. Resolving Customer Support Inquiries for Local Business Locations

First, brands are now empowered to deliver automated customer support to shoppers looking for information from a specific, local business location.

For example, when a customer based in San Antonio searches for their favorite local grocery with the keywords “GroceryBrand San Antonio” they will be provided an option to start a Business Messages conversation with that specific store. With an intelligent automation solution, brands are then empowered to provide customers with specific answers and information related to individual locations. Questions like “what time does your store close?”, “Do you have this particular product in stock?”, or “What is this location’s COVID policy?” can now be answered in a way that is instantaneous, always-on, and without support from a call center.

2. Implementing a First Line of Defense for General Support Inquiries

Brands are also now empowered to position automated support through Google’s Business Messages as their first line of defense for all customer inquiries ⁠— not just questions related to an individual business location. For example, a shopper that has an inquiry about a product that they purchased online is now able to search for the brand that they purchased it from, start a Business Messages dialogue with that brand, and get the answers they need in an entirely self-service manner.

3. Driving Leads and Sales Through Conversational Commerce

In addition to driving efficiencies in customer service, automated conversations through Google’s Business Messages also empower brands to support sales and drive incremental revenue through consultative shopping assistance.

For example, when shopping for a new vacuum cleaner online, customers can search for their favorite brand name on Google, open a messaging dialogue through Business Messages, and ask a question like “What vacuum should I buy for my hardwood floor?” By combining Google’s Business Messages with automation, brands can then provide a series of consultative questions and answers to understand the shoppers’ preferences and direct them to their ideal product for purchase.

What to Look for When Evaluating Partners to Help Get Started With Google’s Business Messages

While retailers may be eager to deploy a new messaging channel through Google, it is important for them to be prepared with the right tools and tactics to automate the sudden influx of customer inquiries that it will yield.

But what are the important things to look for while evaluating automation solutions? When our enterprise partners describe what has enabled them to be successful, we often hear that messaging partners must be able to:

Deploy highly-personalized AI-powered conversations

Modern consumers demand personalization in their online shopping experiences and interactions with AI-powered digital assistants are no different. A recent Gartner report found that brands that deploy personalized messaging can expect a 16% greater impact on commercial outcomes than retailers who deploy basic automation that is incapable of personalizing their experiences.
Deliver actionable insights that empower every team

When engaging in thousands of automated conversations with customers, eCommerce retailers generate a significant amount of customer data that has limitless potential and value for their various teams. Without the assistance of an experienced automation partner, however, this valuable data and insight simply goes to waste. By partnering with an enterprise-tier partner, like Quiq, retailers can ensure that they are properly gathering consumer insights through conversational automation and are able to synthesize that information into practical insights for different teams across the entire organization.
Provide hands-on support through a team of award-winning automation experts

Conversational automation is a complex undertaking for any enterprise business and hands-on support is vital for ensuring its success. An effective automation solution is the result of a collaboration between internal teams and a proven, experienced team of conversational experts that can consult on strategy, integration, conversational design, and ongoing optimization.

Ultimately, while Google’s Business Messages provides online retailers a significant opportunity to connect with their customers more, it has to be deployed in the right way to leverage its full capability and avoid common pitfalls and complications. If you are interested in learning more about getting started with deploying automated messaging through Google, please schedule a free consultation with one of our conversational experts today.

Featured Resource

Complete Agentic AI Buyer’s Kit for CX

Featured Resource

Complete Agentic AI Buyer’s Kit for CX

What are the Risks of Using ChatGPT?

Hallucinations and Confabulations

Privacy

Bias in Model Output

Issues Around Intellectual Property

Failure to Disclose the Use of LLMs

Mitigating the Risks of ChatGPT

How Are LLMs Being Used in Science and Business?

How to Set Up An LLM Assistant

The Ongoing Management of an LLM

Monitoring the Performance of an LLM

Iterative Fine-Tuning and Training

Quality Assurance and Oversight

The Future of LLM Assistants

How is ChatGPT Used in Education and Training?

Making a Socratic Tutor for Learning New Subjects

Having it Explain Code or Technical Subjects

Rewriting Explanations for Different Skill Levels

Creating Study Plans and Curricula

Training Agents to Use ChatGPT

Getting Set Up With ChatGPT (and its Plugins)

Best Practices for Combining Human and AI Efforts

Scenario-Based Training

Ethical and Privacy Considerations

ChatGPT and What it Means for Training Contact Center Agents

What are Large Language Models?

How can Large Language Models be Used in Contact Centers?

What are Large Language Models for Customer Service?

How is Generative AI Changing Contact Centers?

What are the Dangers of Using ChatGPT for Customer Service?

Hallucinations

Degraded Performance

Harassment and Bias

Using LLMs in your Contact Center

What metrics should you monitor?

1. Response time.

2. Agent occupancy.

3. Customer satisfaction.

How to assess contact center metrics.

Figure out your reporting methods.

Analyze data over time.

Don’t forget about context.

Make incremental changes.

Streamline backend processes.

Improve agent efficiency with Quiq’s Conversational AI Platform

What is conversational AI?

Putting technical terms in context.

The benefits of conversational AI.

24/7 customer support.

Faster response times.

More present customer service agents.

How to make the most of AI technology.

Decide on your AI goals.

Choose the right conversational AI platform.

Design your chatbot interactions.

Build a partnership between agents and chatbots.

Test and refine.

What does the future hold for conversational AI?

How Quiq does conversational AI.

Design customized chatbot conversations.

Help your agents respond to customers faster.

Empower agent performance.

This is just the beginning.

But first, should chatbots sound human?

1. Name your chatbot.

2. Consider putting a face to your AI.

3. Give your chatbot some personality.

4. Teach your chatbot empathy.

5. Give your chatbot context.

6. Make your chatbot and human agents a team.

7. Combine logic and rules for a more responsive experience.

Embrace AI to humanize your chatbot.

1. Collect customer information upfront.

2. Decrease customer abandonment.

3. Get faster, more accurate customer responses.

4. Prioritize customer conversations.