A mid-sized US logistics company running 1,200 trucks across 14 states was managing dispatch with spreadsheets, phone calls, and a patchwork of telematics portals. Rising fuel costs and driver churn pushed leadership to invest in a unified, AI-powered fleet management SaaS — one that could optimize routes, predict vehicle breakdowns before they happened, and keep the fleet FMCSA-compliant. Devlex Infotech built FleetIQ as both their internal operations platform and a product they now license to partner carriers.
Vehicle data lived in four incompatible telematics portals from different hardware generations. Dispatchers toggled between systems all day, and no one could answer a simple question like which trucks are due for service this week.
We built an ingestion pipeline that normalizes GPS, engine, and ELD data from Geotab, Samsara, and legacy OBD-II devices into a single time-series store. Dispatchers now work from one live map with the full fleet, regardless of which hardware sits in the cab.
Breakdowns were discovered on the road, turning routine part replacements into towing bills, missed delivery windows, and contractual penalties. The maintenance team had data but no way to act on it early.
Models trained on engine fault codes, mileage patterns, and historical work orders flag vehicles likely to fail within 14 days and auto-schedule shop slots. Towing events became planned service visits, cutting unplanned downtime by over a third.
Routes were planned by dispatcher intuition, ignoring live traffic, dock appointment windows, and hours-of-service limits. Fuel was wasted on suboptimal sequencing, and drivers regularly flirted with HOS violations.
A constraint-based optimization engine sequences stops using live traffic, dock windows, vehicle capacity, and FMCSA hours-of-service rules. Dispatchers approve suggested plans in one click and re-optimize mid-day when conditions change.
“FleetIQ paid for itself in fuel savings alone within eight months. The Devlex team operated like an extension of our own staff — they were on calls at 6 a.m. our time without ever being asked.”
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