Unifying a 2,400-vehicle regional fleet into one live operations platform with geospatial tracking, predictive routing, and a single source of truth.
A regional logistics operator was running three disconnected tools to monitor and coordinate a fleet of roughly 2,400 vehicles. Dispatchers switched between legacy telematics, a separate routing application, and spreadsheet-based fuel reporting while a homegrown dashboard lagged hours behind reality. Fuel costs were rising, route deviations went unnoticed until end of day, and operations teams had no shared picture of where assets were or what they should do next.
The business needed a single platform that could ingest high-volume GPS and sensor data in near real time, surface it on a geospatial map every dispatcher could trust, and layer intelligent routing recommendations on top — without ripping out existing vehicle hardware overnight.
Froxfire designed a unified fleet intelligence architecture built around a streaming ingestion layer, edge-aware processing, and a geospatial operations console. We connected existing telematics feeds into a Kafka-backed pipeline, normalized events at the edge to reduce bandwidth, and projected live vehicle positions onto an interactive map with sub-five-second freshness.
Predictive routing models ran against traffic, delivery windows, and historical stop patterns to suggest re-routes before delays compounded. A single operations dashboard replaced the three legacy tools, giving dispatch, fuel analysts, and regional managers one login and one timeline of truth. We phased rollout depot by depot so teams could adopt the platform without disrupting daily runs.
Within the first operating quarter, fuel spend dropped measurably as idle time and inefficient legs became visible and actionable. Data across the fleet refreshed in about six seconds on average — fast enough for dispatch to intervene while routes were still in progress. Three separate tools were retired in favour of one integrated platform, cutting licence costs and training overhead.
Operations leadership now reviews live fleet health from a single pane, and regional teams coordinate handoffs with confidence that everyone sees the same positions and ETAs.
The platform combines geospatial mapping, event streaming, edge compute for on-vehicle preprocessing, and AI-assisted routing. Core components include a spatial data store for fleet positions, stream processors for telemetry normalization, and a web-based command centre tuned for high-concurrency dispatch use.
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