Snap-to-Book Visual Search for Home Service Bookings
A camera-first booking flow for Urban Company that turns a photo of the broken thing into the right service
✳The problem they went after
People know their tap is leaking or their RO filter is old. What they cannot do is turn that into the correct service category name inside the Urban Company app. Similar service names blur together, so users stall mid-funnel, book the wrong thing, and end up needing a repeat technician visit and a support ticket to sort it out.
✳What they actually did
Snap-to-Book puts a camera button on the home screen. The user photographs the problem item, a computer vision model identifies the object and the likely issue, and the app surfaces the best matching service with transparent pricing in one step. Booking completes in a single tap and category browsing drops out of the flow entirely. The write-up then works through what the change does for each side of the marketplace rather than stopping at the user benefit.
✳What you can take from it
Worth stealing
- Camera entry point replaces category browsing entirely
- CV identifies object and likely issue before pricing
- Photo doubles as a prep brief for technicians
- Impact argued across user, technician, and marketplace
Read this if
Marketplace PMs hunting for ways to cut category-selection friction
The transferable bitChecking a feature against every side of a marketplace is the habit here. The same photo that gives the customer confidence tells the technician what tools and parts to bring, which turns diagnosis-only visits into first-visit completions. That framing lets one change be argued on funnel conversion, pricing disputes, and technician earnings per hour.
✳The submission itself
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