Connects to fleet IoT sensors. Predicts failures 2–4 weeks ahead. Cuts unplanned downtime 40%.
Every action logged. Every decision explainable.
Samsara, Geotab, Omnitracs, KeepTruckin plus J1939/J1708 ECU.
10M+ events. Detects vibrations, pressure drift, cycles.
Cross-references predictions with utilization for natural downtime.
Work orders, parts forecast, DOT readiness auto-updated.
Engine ECUs, tire sensors, brake monitors, reefer units.
10M+ events. 2–4 weeks advance. 87% accuracy.
Books during weekends, backhaul, terminal dwell.
60% fewer emergency parts orders.
Inspection, HOS, DVIR status. Auto readiness reports.
Hard braking, idling, speeding correlated with wear.
94% of failures predicted 3 weeks before inspection failure.
Prevented 23 spoilage events in one quarter.
Fleet-wide tracking. Optimized replacement timing.
Answers from our implementation team.
Unplanned downtime drops materially when failures are flagged weeks ahead, which avoids costly road calls and after-hours tows. Many programs report on the order of thirty to forty-five percent lower maintenance spend in year one once baselines stabilize.
We ingest from leading providers such as Samsara, Geotab, Omnitracs, Motive, and CalAmp, plus raw J1939/J1708 streams where you own the data pipeline.
Alerts range from about forty-eight hours for imminent thermal or pressure faults up to several weeks for gradual wear trends. The median lead time in production fleets is near eighteen days ahead of a shop visit.
Yes. Any asset that exposes meaningful sensor or fault data—trailers with ABS or reefer units, yard trucks, even forklifts—can be modeled with the same health scoring framework.
DOT readiness packs, DVIR summaries, PM adherence, open defects by asset class, and exportable audit trails for safety reviews and insurer questionnaires.
See Fleet running on your actual freight data.
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