How a tyre workshop automated 80% of its enquiries

The owner of this tyre workshop was doing what most owners of busy service businesses end up doing: answering enquiries on WhatsApp between customers, in the middle of jobs, and late into the evening. Every message asked some version of the same three questions. Do you have this tyre size in stock? How much does it cost? Can I book a slot this week?

None of these questions are hard to answer. But answering them one at a time, dozens of times a day, adds up. The owner was spending hours each day just replying to enquiries, time that could have gone into running the workshop floor, managing staff, or closing higher-value jobs. Enquiries that came in after closing hours simply waited until the next morning, and some of those customers had already bought a tyre elsewhere by the time they got a reply.

This is a familiar pattern across service businesses in Singapore: the demand is there, the answers are simple and repeatable, but there is no one dedicated to handling the volume without pulling a person away from paying work.

We built a custom AI system around the workshop's existing enquiry channel rather than asking the business to change how customers reach them. The system was trained on the workshop's actual tyre catalogue, pricing, and stock data, and connected to the booking calendar the team already used.

The result is an AI reception layer that can hold a full conversation with a customer from first message to confirmed booking, without a staff member needing to type a single reply.

When a customer messages in with a tyre size, brand preference, or vehicle model, the system checks live stock and pricing and replies immediately, in the same conversational tone the workshop already used with customers.

If the customer wants to proceed, the system checks the booking calendar for available slots, confirms a time that works, and locks it in. If a question falls outside what the system is confident answering — an unusual request, a complaint, a bulk order — it recognises that and hands the conversation to a staff member with the full context already captured, so nothing needs to be repeated.

Today, the system automates 80% of all enquiries end-to-end, with no staff involvement required from first message to confirmed booking. The remaining 20% — the genuinely unusual or sensitive cases — are routed to a human with full context attached.

That freed-up time did not disappear. It went back into the workshop floor: more attention on the jobs in the bay, faster turnaround for customers who are already on-site, and less time spent context-switching between a phone screen and a wrench. After-hours enquiries are no longer a lost opportunity either, since the system answers and books around the clock.

The workshop is now looking at extending the same system to handle post-service follow-ups, so customers who just had a tyre changed get a natural nudge to leave a review or come back for their next service, before that opportunity quietly disappears.

This is the pattern we see again and again with service businesses: the first win is answering enquiries faster, and the second win is using that same infrastructure to stay in touch with customers after the job is done.