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Auto service

AI agent for auto service: service price and a booking from WhatsApp

A client writes “Camry is knocking, can you look today?” The agent answers from the price list, clarifies make and symptom, offers a window, and creates a job in CRM for the technician.

Where the shop loses jobs

  • Service and diagnostics prices are asked faster than reception replies
  • Without make, year, and symptom, the technician cannot take the job
  • Evenings and weekends the bay is silent — by morning the client is already elsewhere
  • Ads produce chats, not booked cars
  • Context lives in technicians’ personal WhatsApp
Case

Auto shop, 6 bays · Almaty

Challenge

WhatsApp filled with “how much is a service,” “do you have pads,” “can you take us today.” Reception could not keep up — some inquiries cooled without the car year or the actual work.

Result

The agent clarifies the car and the work, names a range from the price list, offers a window, and drops a job into CRM with context. The technician does not need a recap of the chat.

Jobs with full context +35%
Timeline: full loop in 2 weeks

What the AI agent does at the shop

At an auto shop, first line is a filter. Without year and symptom you cannot name a timeline or put the car in a bay. The agent collects that immediately and does not leave the client waiting until morning.

What the conversation looks like

  1. Client: “Camry 2018, knocking on the left, can you take us today?”
  2. The agent gives a diagnostics range, clarifies OEM or aftermarket, and offers 2:00 p.m. and 4:30 p.m.
  3. On “too expensive,” it answers with facts on warranty and availability
  4. The job goes to CRM: car, work, slot, drop-off address

Frequently asked questions about the AI agent at the shop

  • It relies on your price list and rules. Not in the database — it asks or hands off to the technician. It does not invent stock.

We’ll show the agent on your shop’s example

Send your service price list and typical chats — we’ll build a demo for your bays.