Predictive Maintenance AI
Failures Predicted Weeks Early
Our maintenance AI analyses 8,000+ sensor data points per vehicle against historical failure patterns, manufacturer service schedules and real-world Indian road condition data β predicting failures 2 to 3 weeks before they happen. The result: 22% fewer unexpected breakdowns, zero surprise roadside emergencies, and Smart Job Cards that manage 5 million+ components daily across your entire fleet.
- π§ ML model trained on 8+ years of Indian fleet failure data β 30,000 vehicles, 7 categories, all road conditions
- π«Smart Job Cards track 5 million+ components daily: oil filters, brake pads, tyres, batteries, hydraulics and more
- π AI-scheduled servicing based on engine hours, km driven and sensor anomalies β not arbitrary calendar dates
- πWorkshop management: auto-assign jobs, track technician progress, order parts and close tickets in one flow
- π¦Parts inventory management β auto-reorder when stock falls below threshold for high-consumption components
- πOEM integration with Mahindra, Tata, Ashok Leyland, JCB and 20+ manufacturers for warranty-aligned schedules
- πMaintenance cost per vehicle per km β identify your most and least cost-efficient assets in real time
- π«30-minute roadside assistance SLA via Smart Ticketing β nearest certified mechanic auto-dispatched instantly