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AI chatbot for auto repair shops: what actually works (from someone in the trade)

We run a diesel injector service with three branches — and built our own AI assistant for it. What repair-shop bots must do differently: no price promises, branch routing, and quote capture.

by Zedinga TeamJuly 18, 20263 min read

I'm not writing this as a SaaS founder guessing what repair shops need. My family runs a diesel injector service in Türkiye — three branches, customers shipping injectors in from all over the country. The phone rings all day with the same questions: how much does it cost, can I mail it to you, which branch is closest, my car smokes white — is it the injectors?

We built an AI assistant for our own shop first. Here's what we learned about what works in this trade — and what a generic chatbot gets dangerously wrong.

Rule 1: The bot must never promise a price

In repair work, the honest answer to "how much?" is almost always "it depends on the test results." A generic AI chatbot doesn't know that — ask it for a price and it will happily invent one, and now you have an angry customer holding a screenshot.

Our bot is configured with a hard rule: never quote a repair price. Instead it explains the process — the injector gets tested, the fault determines the cost — and offers to collect the customer's details for a real quote. Honesty is a configuration choice, and it's the single most important one for a service business.

Rule 2: Route by location

"Which branch is closest?" is a real question with a real answer. Our bot knows all three branches and their phone numbers; say "I'm in İzmir" and it points you to the İzmir branch with the right number — and mentions that customers elsewhere can ship injectors to the central service by cargo. One-tap call and WhatsApp buttons sit right in the widget, because in this trade the serious customer wants to talk.

Rule 3: Capture the quote request properly

The highest-value moment is when someone says "give me a quote." Our bot switches from AI chat into a fixed step-by-step flow: name → phone number → vehicle make/model/year. That lands in the dashboard as a structured lead with an instant notification — not a half-remembered WhatsApp message from Saturday evening.

Symptom questions ("hard start and white smoke — injectors?") get answered from our own website content: possible causes, what the test will reveal, and an invitation to bring it in. The bot learned all of it by crawling our site — we didn't write a single FAQ by hand.

Does it work? Judge for yourself

The assistant is live on naruzman.com right now — open the chat bubble and try it in Turkish, or talk to it here in any language (it auto-detects). Ask it for a price and watch it not make one up. Say "teklif istiyorum" and watch the quote flow.

We've written up the full automotive setup — pain points, live examples from three countries, and what the assistant does — on our automotive industry page.

If you run a repair shop, a parts counter, or a specialist service: start free, point the bot at your website, and test it against your own toughest customer questions before you put it live. That's exactly how we did it.

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The Zedinga Team

The Zedinga Team

Founders & Engineers, Zedinga LLC

Zedinga is built by a founding team with over 20 years of professional software experience and more than 200 web and mobile projects delivered for clients worldwide. After two decades of building software for others, we now build our own products — including Zedinga AI, which runs the customer-facing AI on our own e-commerce stores and service businesses. Features get battle-tested on real businesses before they're called done.

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