Ride-hailing with real-time dispatch, done right
Rider and driver apps with geo-matching, background location tracking and live offers — the hard parts of an Uber-class product.
Ride-hailing lives or dies on real-time behaviour: stale driver locations, missed ride offers and Android battery optimizations silently killing background tracking. The challenge was building dispatch that stays accurate in the real world — not just in a demo.
Dispatch is built on geospatial queries over live driver locations, with MongoDB change streams pushing ride offers to drivers over WebSockets in under a second of a rider's request.
The driver app runs a native Android background location service, hardened against battery optimization and OS process-kills — the single most common failure point in ride-hailing apps — with staleness rules that stop offers reaching drivers whose location can no longer be trusted.
Driver onboarding includes a full KYC document-verification flow with admin review, rejection-with-reasons and photo re-upload — the operational backbone that lets the fleet scale safely.
Illustrative screens — each engagement gets its own design language.
Delivered features
- Sub-second driver matching via geo-indexes
- Live ride offers over WebSockets
- Hardened Android background tracking
- Driver KYC & document verification
- Trip lifecycle: request → match → ride → payment
- Admin verification console
How it was delivered
- Realtime coreGeo-indexed locations, change streams and the offer pipeline.
- The two appsRider and driver experiences with live trip state on both sides.
- Field hardeningBackground-location survival on real Android devices, KYC flows, launch.
Representative engagement from our team's delivery portfolio, anonymized out of respect for the businesses involved. Every number above is an engineering fact we can walk you through on a call.
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