The Challenge
Inefficient rider-driver matching leading to high wait times and revenue leaks. Dispatch was effectively nearest-available, which stranded drivers in low-demand pockets and left riders in dense zones waiting through repeated declines.
All case studies
On-Demand Transportation & Mobility
Tada Taxi App
AI dispatch that cut rider wait times by 40% — A real-time AI ride-hailing platform with predictive surge pricing, optimal driver dispatch and dynamic route optimisation.
- Mobile
- AI Apps
Google Play
Live on the web
40%Lower average rider wait
<1sDispatch decision latency
24/7Live fleet optimisation
The Ithrive Solution
We developed a real-time AI-powered ride-hailing mobile application built on Python backend logic, with custom algorithms for predictive surge pricing, optimal driver dispatching and dynamic route optimisation. Dispatch scores every candidate driver against ETA, acceptance likelihood and post-trip repositioning value rather than raw distance.
Value Delivered
Bridged the gap between customer and ride provider, cutting wait times by 40% and optimising driver payouts.
Inside The Build
What we actually engineered
Six of the capabilities that made the difference, and why each one was there.
Live tracking
Sub-second driver position streaming over WebSockets with battery-aware location sampling on the driver app.
AI dispatch
Every request scored across the available fleet on ETA, historical acceptance rate and repositioning value.
Predictive surge
Demand forecast per zone on a fifteen-minute horizon, so pricing moves before the shortage rather than after it.
Route optimisation
Continuous re-routing against live traffic, with driver-facing turn guidance and accurate rider ETAs.
Driver earnings view
Transparent per-trip breakdown and heat maps showing where the next fare is most likely to come from.
Trip safety
Share-trip links, SOS escalation and anomaly detection on route deviation.
- Python
- FastAPI
- PostgreSQL + PostGIS
- Redis
- WebSockets
- React Native
- AWS
More Work
Other platforms we have shipped
Google Play
App Store
Live on the web
On-Demand Food & Quick Commerce
Toing — Food Delivery App
Personalised ordering that lifted repeat orders 35%
- Python
- Django
- Celery
- PostgreSQL
Live on the web
Google Play
Civic Tech & Community Grievance Management
Urimai Kural App
Auto-routing citizen grievances to the right officer
- Python
- Django
- PostgreSQL
- Whisper
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