A customer seeks to reschedule a flight. They access the application, locate the chatbot and submit their inquiry. The chatbot answers quickly and politely. But no matter what date the customer picks, the chatbot always says no flights are available. It does not explain why, offer other options, or say what to do next. The customer then calls customer service. The representative listens and tells the customer to try the chatbot again. Still, the problem is not fixed. The call ends with the issue unresolved and an automated message asking for feedback.

Another customer orders coffee online and gets a product that looks used, half-drunk not fresh, and not what they paid for. They use the chatbot to report the problem. The chatbot shows some choices, but none fit the issue. When the customer types their problem, the chatbot does not understand and shows the same choices again. When the customer asks for help, the agent apologizes and says they will check into it. Ten minutes later, the customer gets a message asking them to rate the service.

Two industries. Two products. One poor customer experience.

The chatbot promise vs. the chatbot reality

Brands have invested heavily in AI chatbots. The concept was good – providing support around the clock, instant responses, lower costs, and less pressure on teams. 

However, what customers actually receive is different. 

Most chatbots follow fixed scripts. They only answer a predetermined set of questions. If a customer’s issue is not on that list, the bot cannot assist. It repeats itself, avoids the question, or provides irrelevant options. Instead of admitting "I don’t know," it continues in circles. 

Even worse, when customers request a human agent, they are often redirected back to the same faulty bot. And when the chat ends - whether resolved or not - customers are asked to rate the experience. Requesting a frustrated customer to rate an unhelpful experience is not proper follow-up. It is insensitive. 

As per PwC report, about 32% of customers stop engaging after just one bad experience. One moment is enough to lose them.

Why most chatbots still fail

The problem is not AI itself. It is how it is used.

Most chatbots are not connected to live systems - booking engines, order trackers, inventory databases. They work with fixed, outdated data and cannot tell customers what is actually happening right now. They can only repeat what they were programmed to say.

They also fail to notice frustration. A customer asking the same question several times, with shorter sentences each time, is clearly unhappy. A smart AI agent would recognize this sign. Most bots, however, do not.

And when customers do reach a human, the agent often has no record of what has already been tried. The customer starts over from scratch. The experience breaks down even further.

What customers are actually asking for

Customers are not asking for perfection. They are not looking to be impressed.

They want their problem acknowledged. They want a real answer, not a scripted dodge. They want to know if something cannot be done right now and what the alternative is. They want to feel like the brand is actually trying to fix it.

That is it. That is the standard.

A chatbot that cannot clear that bar is not a support tool. It is a frustration machine that happens to be available around the clock.

Fynd AI agent automation: Built to actually solve problems

At Fynd, we have built commerce technology for over 2,300+ brands. We know where conversations break down. That is why we created AI agent automation.

• It connects directly to your live catalog, order system, CRM and delivery data. So when a customer asks about their order, booking or availability, it gives a real answer right now.

• It does not repeat itself or dodge questions. When a human is needed, it passes the full chat so the customer never repeats themselves.

• An AI agent also senses feelings. If a customer is upset, it adapts. If the chat is not working, it escalates before the customer asks.

The results speak for themselves: 80% of support actions automated, 30% more conversions, and tickets solved 10 times faster. It handles over 1 million chats at once and supports 50+ languages.

No loops. No dead ends. No rating requests before the problem is fixed.

The real cost of getting this wrong

Customers who hit dead ends do not always complain. They just stop coming back.

Repeat purchases drop. Refunds rise. App ratings fall. When brands look closely, many problems trace back to one thing, support that did not support.

A chatbot that fails is not neutral. It breaks trust.

It’s time to hold the bar higher

Having a chatbot is not new anymore. Customers do not care that it exists. They care if it helps.

If your AI sends customers in circles, works without live data, hands them off with no context, and asks for ratings too soon, it is failing.

Fynd is for brands ready to move past checkboxes and have a chatbot that truly works.

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See what Fynd can do for your brand →

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