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AI Chatbot Case Study

A Support Chatbot That Answers Instantly

An online retailer fielded the same questions all day. A support AI chatbot now answers the routine ones instantly and passes only the rest to the team.

Results at a glance

  • 70%Routine questions answered automaticallyPeriod not stated · Internal measure
  • 4 wkFrom kickoff to livePeriod not stated · Internal measure

The challenge: The same questions, every hour of the day

Most chats and emails were routine and repetitive, but each one still waited for an agent to be free, look up the order, and reply.

Volume spiked at night and on sale days, the queue grew, and customers waited hours for an answer they could have had at once.

  • Routine questions made up most of the volume.
  • Every chat waited for a human to reply.
  • Nights and sale days overwhelmed the team.
  • An older keyword bot frustrated more than it helped.

The solution: A chatbot grounded in the help centre and orders

We built a support chatbot grounded in the retailer's help centre and connected to the order system.

It understands what a customer means however they ask, answers the routine questions from real content, looks up an order to give a live status, and hands the rest to a person with the chat attached.

  • Understands the question, not just keywords.
  • Answers from the help centre content.
  • Looks up live order status.
  • Hands off the hard cases with full context.

How it was delivered: Ran it beside the team, then let it lead

We grounded the chatbot in the existing help content, set clear limits and handoff rules, and ran it in suggest-only mode beside the team to check its answers, then let it reply on its own once it proved accurate.

Refunds and account changes still go to a person.

The chatbot went live in four weeks.

The outcome: The routine answered, the queue under control

The chatbot now answers about 70 percent of routine questions on its own, replies instantly at any hour, and the team spends its time on the cases that need judgement.

The queue no longer piles up overnight, and customer wait times dropped sharply.

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