An ML-powered maintenance prediction system reducing vehicle downtime and optimizing fleet performance with accurate health analytics.
Project challenges
Analyzing real-time telemetry and diagnosing faults ahead of failures required precision and rapid alerts across large fleets.
Processing continuous IoT data streams.
Early prediction of mechanical failures.
Integrating seamlessly with fleet management tools.
Keeping operational alerts simple for field teams.
The solution
We built a predictive maintenance layer that analyzes behavior patterns and alerts teams before issues escalate — improving asset lifespan and performance.
The result
Fleet operators reduced breakdown events and maintenance cost significantly.
