Smart Dispatch
Assigns the optimal driver in under 200ms using 12 weighted signals: proximity, rating, vehicle class, fatigue, earnings target, route compatibility.
Six AI engines run quietly underneath TaxiDex, making the small operational decisions that used to require a senior dispatcher's gut. The result: lower wait times, higher driver earnings, fewer empty miles.
Each model is purpose-built, audited, and explainable. You can see why a ride was assigned, why a surge fired, why a driver got flagged.
Assigns the optimal driver in under 200ms using 12 weighted signals: proximity, rating, vehicle class, fatigue, earnings target, route compatibility.
Predicts where ride demand will spike 30 minutes ahead. Drivers get push notifications steering them toward high-demand zones.
Combines live traffic, historical patterns, and driver behavior. 94% within ±2 minutes across our 32 active markets.
Catches GPS spoofing, fake rides, and chargeback rings. Quietly blocks bad actors without harassing legit customers.
Surge tuned for sustainability — sharp enough to reward drivers, gentle enough not to scare passengers. Caps, floors, and explainability built in.
Spots habits that hurt driver ratings or earnings — harsh braking, idle time, peak-hour breaks. Sends private nudges, not blame.
No black boxes. Every dispatch decision, surge fire, or driver flag is logged with the exact signals that drove it. Auditable, exportable, defensible to regulators.