The client is a regional logistics provider managing a complex supply chain network across six countries, with a mixed fleet of owned and leased trucks and a dispatch team that had no visibility into a vehicle once it left the depot. However, they faced significant hurdles:
- Dark Assets: No data from trucks once they left the depot, so dispatch could only guess at ETAs.
- Fuel Waste: Inefficient, static routing cost millions annually in unnecessary mileage.
- Unplanned Downtime: Breakdowns caused shipment delays and contract penalties with no early warning.
- Driver Safety: No way to detect harsh braking, fatigue patterns, or engine anomalies before they became incidents.
Varcio deployed an Azure IoT solution across the full fleet in phased waves, starting with a 20-truck pilot before committing to hardware for all 420 vehicles:
- Azure IoT Hub: To ingest telemetry data from truck sensors at scale, handling intermittent connectivity gracefully with store-and-forward buffering.
- Stream Analytics: To process data in real-time and alert drivers and dispatch of engine anomalies as they happened.
- Machine Learning: To predict maintenance needs before breakdowns occurred, trained on two years of historical maintenance logs.
- Dynamic Routing Engine: Continuously re-optimized routes based on live traffic, weather, and vehicle load data.
Fleet Efficiency Metrics
Installing sensors on 20 test trucks and validating data quality before wider procurement.
Building ingestion pipelines on Azure capable of handling the full fleet's telemetry volume.
Training failure-prediction models on two years of historical maintenance records.
Phased deployment to all 420 vehicles in batches of roughly 60 trucks per month.
Predictive maintenance reduced breakdowns by 18%. Real-time routing saved 11% on fuel costs annually, translating to six-figure savings and a measurably lower carbon footprint reported to the client's sustainability board.
Dispatch also reported a sharp drop in customer-facing ETA complaints, since accurate live tracking replaced what used to be manual phone check-ins with drivers.
"We can now see every truck, every route, and every engine diagnostic in real-time. It's like turning on the lights after working in the dark."