AI assistant for auto service shops — service bookings and parts requests over WhatsApp
AI assistant on WhatsApp for auto repair shops: service booking, make routing, upfront pricing, maintenance reminders. Missed scheduled maintenance −50%, parts orders +30%.
AI assistant for auto service shops
A client messages: "Can I get an oil change tomorrow on my BMW?" Your service writer replies at 11 am: "call us, we'll check." By then the client is booked at the shop next door.
In auto service, most of the revenue is decided in the first minute of contact. A driver with a premium car (BMW, Toyota, Mercedes) typically messages 3–4 shops at once. Whoever replies first, quotes a sane number, and offers a slot — wins. "Call us back tomorrow" is how you lose money.
Second leak: scheduled maintenance. A client had their service done in October, they're due in April. Who reminds them? Your service writer doesn't track that, your shop management system does, but nobody runs outreach off it. Missed maintenance = lost customer = never came back.
ZiFlow is an AI assistant on WhatsApp and Telegram that handles intake 24/7, routes by make, gives upfront pricing, runs maintenance reminders, and tracks each vehicle.
What the assistant does in an auto shop
- Answers "how much is an oil change for a Toyota RAV4" in 5 seconds
- Routes by make and service type to the right bay and tech
- Gives honest "from-to" upfront pricing
- Books a specific tech at a specific bay
- Notifies client when car is ready, with before/after photos
- Triggers maintenance reminders every 3,000 mi or 6 months
- Captures parts requests and hands off to the parts desk
Four scenarios
A client writes: "BMW X5 2019, need oil and filter, price?" The bot asks: OEM or aftermarket, current mileage. Replies: "OEM BMW — $145 labor + parts, aftermarket — $95. Open tomorrow 10 am or 2 pm at the Abay 12 bay with Mike. Book?" The client picks 10. Done.
A new message: "I've got a Toyota Camry, clunking from the suspension." The bot doesn't offer a BMW bay — it knows Toyota runs at Raiymbek 256 with Alex. It offers a diagnostic slot and notes that the $30 diagnostic is credited toward repair.
Car is done — the tech taps "closed, photos uploaded" in the Telegram bot. The client gets in WhatsApp: "Hi Emma, your Lexus is ready. Oil, filter, injector cleaning — $180. Photos attached. Pay by card on pickup or Stripe now." Client swings by, zero phone tag.
The bot remembers: October service on a BMW at 24,000 mi. It's April now, expected mileage ~28,000. "Hi Alex, it's been six months since your BMW X5 service. Per maintenance schedule, time to come in. Tuesday 10 am?" Out of 100 reminders, 55–70 rebook. Pure incremental revenue.
ROI
Objections
"Clients want to hear a real voice from the tech." That's why the bot doesn't replace the tech. It handles "how much" and "any slots tomorrow." When the client wants a voice, the bot hands the chat to the service writer in one tap. The pre-filter saves the tech 3 hours a day.
"We have Shop-Ware / Mitchell1, everything's already there." Those are internal ops tools. Between the client and Shop-Ware sits a service writer manually copying WhatsApp threads into tickets. ZiFlow removes that step: the booking lands in Google Calendar and you pull it into the SMS as usual.
"Every customer is different." On average 70% of shop requests are routine: oil, brakes, maintenance, tires, check-engine diagnostics. The bot absorbs that. The remaining 30% (custom builds, heavy collision, special orders) it escalates.
"What if they send photos and a VIN?" Photos and VINs are saved to the customer card. The tech sees them in Telegram before the call. Saves the first 10 minutes of inspection.
Who this fits
- Multi-brand independent shops with 2+ bays
- Dealership service departments
- Tire shops and detail shops
- Specialty shops: BMW-only, European, EV-focused
Plans
- Trial — 7 days free
- Solo ($31/mo) — 1 bay, 1 WhatsApp number
- Business ($72/mo) — up to 4 bays, Telegram, Google Calendar, Stripe
- Team ($83/mo) — multi-shop, shared CRM, SMS integration on request
Related: automating customer bookings, appointment booking use case.
FAQ
Routing by make — really works? Yes. You configure which bay handles which makes once. Client just sees the right address.
Where does upfront pricing come from? Your price list by make and service. Honest "from-to", no guessing.
Maintenance reminders — how does it know the mileage? Logged at every visit: mileage, date, services. After the configured interval — reminder fires.
Complex repairs? Bot gathers photos, VIN, description, books an inspection. Tech gives the real quote.
In two months the bot brought back 73 clients for scheduled maintenance I had written off. At average ticket, that's north of $45K in work we would have lost.
— Mike K., owner, multi-brand auto shop