A Southeast Asian mobility startup needed a complete ride-hailing system — dual rider and driver apps, intelligent dispatch algorithm, dynamic pricing and a back-office operations dashboard — to launch in 3 cities simultaneously. The key challenge was building a matching algorithm that outperforms simple proximity matching by factoring in traffic, driver direction and ETA.
We built two React Native apps (rider and driver) sharing a design system. A Node.js microservice handles ride matching using a custom algorithm weighing proximity, driver heading, traffic data from Google Maps Platform and driver acceptance rate. WebSocket channels push location updates every 800ms. Surge pricing activates when supply/demand ratio drops below a threshold. The admin portal gives ops teams live dispatch visibility and manual override capability.
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Core capabilities delivered in this project
Multi-factor matching using proximity, driver heading, traffic conditions and acceptance rate — 38% faster pickup than proximity-only.
WebSocket-powered live tracking with smooth polyline rendering on Google Maps for both rider and driver.
Supply/demand surge engine with transparent multiplier shown to riders pre-booking.
Automated bonus calculation for peak-hour trips, acceptance rate and daily trip targets.
Masked VOIP calling via Twilio so riders and drivers communicate without sharing personal numbers.
Trip sharing with live location, emergency SOS button, and post-trip safety check-in notifications.
Measurable outcomes delivered for the client
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