Most appliance calls start with a noise, a leak, or a light, not with a diagnosis. The technician needs the model number, the symptom, and a window and a warranty answer before the visit is worth anything. Zepiva gives appliance repair shops an agent that collects the details over the phone or WhatsApp, rules out the wrong guesses, and books a window the first time.
Real problems these businesses deal with daily — and the gaps an AI agent can fill.
'The dryer keeps stopping' is six different problems depending on the model and the code. A visit sent on a guess often comes back with the right diagnosis actually needing parts.
Customers call because the unit still under warranty belongs to the store or the brand, not the shop. Sorting that once before the trip saves a callout nobody can charge.
A refrigerator repair eats a few-hour window with the customer home, and a washer takes the same. Missed windows empty the day and stack unpaid wait time onto the technician's route.
Specific features mapped to the way your business actually works.
The voice agent walks the caller through the same first questions a technician asks: what happened, error code, what it does when it was run, and the model number. The job arrives in the field already narrowed, not a guess.
The customer photographs the model sticker or records the sound and sends it. The agent reads the code, explains the common cause, and books the visit with the expectations set before anyone leaves the shop.
A short warranty checklist goes out before the visit so the customer can find the receipt and purchase date. After the repair, the agent follows up with simple maintenance steps, like accessing the filter, so the return service calls slow down.
The agent books into the actual windows your techs carry and tracks ordered parts. When a part arrives, the next visit is scheduled and the customer reminded, instead of a finished job waiting on a late callback.
Codes, photos, parts, and windows, all moving without the desk.
A homeowner sends the E15 error from the dishwasher. The agent reads the code, asks the follow-up questions, and books the same-week window.
A customer records the hum from the refrigerator and sends the model details. The agent logs the symptom, notes the possible inverter fault, and schedules the visit.
Before the visit a warranty checklist goes to the customer's email so the deposit and receipt are found first.
The ordered compressor part arrives Thursday. The agent books the install window and reminds the customer, closing a job that started days earlier.
Illustrative example — not a customer testimonial.
A starting point based on how these businesses typically use the platform.
Gold fits a repair shop's volume: three numbers for the main line, a parts and warranty line, and WhatsApp, with 150 calls a day and the call-backs that close parts-waiting jobs.
Related industries, in-depth guides, and articles.
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