Fleet telematics generate terabytes of data. Most of it goes unused. We changed that.
Modern trucks are rolling data centers—engine sensors, GPS trackers, driver behavior monitors, cargo sensors. Yet most fleet operators only use this data reactively, investigating after breakdowns or incidents occur.
data without insight
A logistics company with 500+ vehicles was drowning in data but starving for intelligence. Their telematics provider delivered raw feeds, but translating that into operational decisions required expertise they didn’t have in-house.
The gaps we identified:
- No predictive maintenance—only reactive repairs
- Route optimization based on static maps, not real conditions
- Driver coaching disconnected from actual behavior data
- Fuel consumption analysis arriving weeks too late
building the intelligence layer
We created an analytics platform that transforms raw telematics into actionable intelligence, delivered in time to matter.
Key capabilities we developed:
- Real-time anomaly detection for mechanical issues
- Dynamic route adjustment based on traffic and weather
- Driver scoring with immediate feedback loops
- Fuel efficiency optimization across the fleet
operational transformation
Unplanned maintenance dropped by 34%. Fuel costs decreased 11% through optimized routing and driver coaching. The company now uses their data as a competitive advantage rather than an administrative burden.
