They Texted A Photo Of The Error Code. Your AI receptionist's Already Diagnosing.
Appliance repair customers love texting because they can send photos of the error code flashing on their washing machine or the burnt element in their oven. It's faster than describing it over the phone. Your AI receptionist replies in seconds, asks for the make and model, and gets the lead to you with the photos attached — so you can order the part before you even call back.
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Midday Wednesday. You're replacing the door seal on a Bosch washing machine at a semi in Pudsey. Fiddly job — the spring clip needs patience. Your phone buzzes on the kitchen worktop. A student house in Hyde Park — the text reads: "Hi our tumble dryer has stopped heating. It spins but clothes come out wet. It's a Beko, maybe 3 years old? We have 6 people in the house and no way to dry clothes. Can someone come?" There's a photo of the model number sticker on the back of the machine. Without your AI receptionist, you reply two hours later. Two of the housemates have already bought a cheap replacement from Argos. with your AI receptionist: "Hi, a Beko dryer that spins but doesn't heat is usually the heating element or the thermal fuse — both are straightforward repairs and much cheaper than replacing the whole machine. Can you tell me the full model number from that sticker and your postcode? We'll try to get someone to you this week." The student texts back the model number. Your AI receptionist captures everything — including the photo. That evening, you look up the model, order a heating element for £18, and visit on Friday. Forty-minute job. Customer charged £75 all-in. They cancel the Argos order. Everyone's happy.
How It Works
Appliance Text With Photo Arrives
Error codes, model number stickers, damaged parts — appliance repair customers text photos because it communicates the problem faster than words. Your AI receptionist responds immediately.
Your AI receptionist captures Make, Model, And Symptoms
She asks for the full model number (from the sticker), the fault symptoms, how old the appliance is, and any error codes showing. This gives you everything to diagnose and prepare parts in advance.
Pre-Diagnosed Lead With Parts Info
Make, model, symptoms, error code, photos, and customer contact — you can look up the model, order the part, and arrive fully prepared. Fewer return visits, more jobs per day.
Frequently Asked Questions
AI SMS messaging for appliance repair engineers responds to every text about broken washing machines, faulty dishwashers, malfunctioning ovens, and dead fridges with intelligent responses that reference the specific appliance and fault described. Appliance repair customers text photos of error codes, videos of machines making unusual noises, and model number stickers, because showing the problem is more effective than describing it. The AI processes all of this: when a customer texts a photo of a Bosch washing machine displaying E18 with the message 'keeps stopping mid-cycle', the AI acknowledges the specific error code, confirms the machine type, and lets them know you'll review the details. For appliance repair engineers who work on 3-5 machines per day with hands too busy or dirty to text, this AI-powered response ensures no enquiry goes unanswered while you focus on the repair in front of you.
Appliance repair is a high-volume trade — you might receive 8-10 text enquiries daily alongside phone calls, and responding manually while your hands are inside a drum bearing or a control board is impossible. By the time you reply at lunchtime, the customer whose dishwasher broke at 8am has already googled another engineer. AI SMS responds to every text within seconds, with specific reference to the appliance, brand, and fault mentioned. This personalised instant response at £99 per month dramatically increases the chance the customer waits for your callback. For comparison, a missed repair job averages £120-200 — just one saved lead per month makes the AI pay for itself entirely. Manual replies simply can't compete with instant, appliance-aware responses sent while you're actively working on another machine.
Appliance repair customers share more useful technical information via text than any other channel — error codes, model numbers, photos of the fault, even links to YouTube videos showing similar problems. The AI uses all of this to craft a specific, knowledgeable response. When a customer texts the model number from the silver sticker inside their dryer door alongside a description of the fault, the AI acknowledges both pieces of information and confirms the details are being reviewed. Customers are regularly impressed when you call back already aware of their make, model, and likely issue — this pre-qualification by the AI saves time on the phone and positions you as efficient and prepared. The AI never misdiagnoses, never guesses at costs, and never promises availability — it simply captures, acknowledges, and delivers.
She asks the customer to share the model number from the sticker — most appliances have this inside the door, on the back, or on the side. The photo and typed model number are both included in your lead.
She understands common fault descriptions: 'not draining', 'not spinning', 'not heating', 'making a grinding noise', 'leaking from the bottom'. This helps her ask the right follow-ups to narrow down the cause.
She gathers the information you need — age, make, fault — for you to make a recommendation. She doesn't advise directly but can mention that 'most appliance faults are repairable and often much cheaper than buying new.'
She asks about symptoms (not cleaning, not draining, not filling, error code), the age, and the make. If there's standing water in the bottom, she asks whether they've checked the filter — a common cause of drainage failures.
Yes. Launderette machines, commercial dishwashers, catering ovens — she captures the make, the fault, and the business impact. Commercial equipment downtime costs money, so these are flagged as urgent.
She asks how old the appliance is. If it's within typical warranty periods (1-5 years depending on brand), she suggests checking the warranty before booking a private repair — which builds trust and saves the customer money.
Plumbing in a washing machine, wiring a cooker, fitting a built-in oven — she captures the appliance type, whether the connections already exist, and any modifications needed.
Your AI receptionist handles multi-property, multi-appliance enquiries methodically — capturing each address, each appliance, and each fault individually. These are efficient jobs for you to batch together.
If you provide rates: 'Washing machine repair from £55 plus parts. Oven element replacement from £65 all-in.' You control what pricing she shares.
Yes. If you tell a customer the part needs ordering, Your AI receptionist can send a follow-up text when the part arrives: 'Hi, your part has arrived. When's a good time for us to come and fit it?' This closes the loop automatically.
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