An AI agent for home appliance stores and repair services
that answers fast and never guesses what is in stock
Most home appliance stores and repair services lose sales to slow replies, not bad products: a question about stock or a repair visit arrives after closing and the customer buys somewhere that answered first. We build an agent that answers what a repair is likely to cost given the symptom described, whether a part has arrived or a unit is still under warranty and the first available slot for a technician visit, any hour, and routes an actual diagnosis once a technician needs to look at the unit to your team instead of guessing.
Why home appliance stores and repair services lose money today
Home appliance stores and repair services run on staff time that never scales with demand, and every gap in coverage shows up as a question nobody answered in time.
A repair call needs a quote before a technician drives out, and when that quote takes a day to come back over the phone, a customer with a broken fridge books whichever shop answers and quotes first.
Warranty and parts status, is my part in yet, is this still under warranty, gets tracked in a paper ticket book or a spreadsheet nobody updates in real time, so every status check becomes a phone call.
Scheduling technicians across a day of jobs with real travel time between them is still often done by hand, so slots end up double-booked on a busy day and empty on a slow one.
A big-ticket purchase, a new fridge or washer, comes with financing and delivery-timing questions a busy sales floor cannot always answer on the spot, and a slow answer sends that shopper to a competitor with a faster one.
Underneath, each of these is a question that arrived at the wrong hour, or a customer nobody recognized, and both are exactly what a trained agent is built to catch.
What we build
We build an agent trained on your actual catalog, prices and schedule, not a generic FAQ script. It answers questions like what a repair is likely to cost given the symptom described, whether a part has arrived or a unit is still under warranty, and the first available slot for a technician visit on its own, takes a reminder when a unit is due for service or near the end of its warranty, and books a repair visit when that is part of the flow. Every answer comes from data you give it, current stock, current prices, current hours, never a guess dressed up as an answer.
The one rule it never breaks: an actual diagnosis once a technician needs to look at the unit goes straight to a human, with the conversation attached so nothing needs repeating. Home appliance stores and repair services run thin on staff exactly when customers browse most, evenings and weekends, and the agent covers precisely that gap instead of replacing the judgment calls your team is actually good at.
Typical channels: Telegram and your site chat, with your CRM or order log as the system of record behind it.
Picture a customer messaging at 9 p.m. asking whether a part has arrived or a unit is still under warranty. The agent checks your real data, answers honestly, and offers to handle the next step right there in the chat, instead of the question sitting unanswered until the shop reopens the next morning.
What stays with humans
An agent that tries to do everything ends up doing nothing well. We build in a short, explicit list of what it hands off on purpose:
- An actual diagnosis once a technician needs to look at the unit, always, no exception built into the model
- Any price or policy exception outside your published list
- The actual decision on a complaint or a refund
- Relationships with your best repeat customers: the agent supports them, it does not replace a staff member who knows them by name
Price and timeline
Most firms start with the Agency-run package below, where we build, host and tune the agent. A few want their own developer able to change it without us later, which is what the full-control tier is for.
| Model | Price | Timeline |
|---|---|---|
| Agency runs it | from $2,200 | 2 to 3 weeks |
| Full control, handover-ready | from $3,750 | 3 to 5 weeks |
Running cost is separate and usually $20 to $150 a month in model usage depending on conversation volume, with a hard budget cap set before launch. Both tiers include the same playbook and the same hard rule on what gets escalated; the difference is who runs it day to day.
The price is fixed once the plan is agreed, you see a working build every week during development, and the source code stays in your name under either tier.
Related
See the full package breakdown on the AI agents service page, or compare this with a messaging bot, a website build, and performance ads for home appliance stores and repair services. On the data and automation side, see also the AI receptionist agent, often the next piece teams add. Our own numbers on related builds are in seven-channel AI sales agent case study and visa center AI support case study. A short conversation is usually enough to tell you whether this is the right starting point for your business, or whether a different piece from the list above should come first. Get a written plan with a fixed price for your business.
FAQ
How much does an AI agent for appliance shops cost?
Our Assistant package starts at $2,200: one channel, FAQ built from your catalog, repair visit handling, hand-off to staff, live in 2 to 3 weeks. A full-control build your own team can run starts at $3,750 and runs 3 to 5 weeks, handed over with source code and documentation.
Does the agent give advice it shouldn't?
No. The agent follows one hard rule: an actual diagnosis once a technician needs to look at the unit always goes to a human. That line is written into the playbook, not left to the model's judgment, and the hand-off carries the full conversation so nothing needs repeating.
Which channels does it run on?
Telegram and your site chat are the most common for home appliance stores and repair services. We add email or another channel if your customers actually use it.
Does it know what is actually in stock?
Yes, as long as your stock data is reachable, from your POS, an inventory sheet, or an ecommerce platform. If there is no reliable source yet, we say so before the project starts rather than guessing.
Can it handle a reminder when a unit is due for service or near the end of its warranty?
Yes, that is one of the first things we build in, since it is the clearest way to save a customer a repeat trip to the counter or the chat.