Industry · AI support for appliances
Washing machines, ovens, dishwashers — solved at home
Guided fault isolation before a technician is dispatched. Customers identify the issue, follow a clear repair path, and book the technician with a populated ticket only when needed.
Three problems specific to this sector
Cryptic error codes per brand and model
Cryptic error codes per brand and model
Customers wait days for a simple repair visit
Customers wait days for a simple repair visit
Field technicians arrive without context
Field technicians arrive without context
Typical results — first 90 days
Typical workflow
01 Upload. Manuals, schedules, brand documentation — indexed in minutes with chunking tuned for the vertical.
02 Tuning. Your reviewer validates the most-asked questions and the team tunes hybrid retrieval on the first-run false positives.
03 Deploy. Web widget, mobile or voice — whichever channel your customers already use. SSO to your CRM, CSV log export.
04 Iterate. Dashboard surfaces unanswered questions. Add a manual → indexed in 4-8 minutes → live.
Frequently asked questions
How quickly can we go live for home appliances?
How is data isolated between customers?
Languages supported?
Can we integrate with our CRM / ticketing system?
Related industries
Self-service troubleshooting with QR codes on each unit — from coffee machines to washing machines. Guides, error code resolution, spare parts identification.
Interactive setup wizards, multi-language by default, integrated with warranty + RMA flow.
Pairing flows, network diagnostics, firmware updates and integration troubleshooting.