Real-Time Fleet Tracking with IoT & Edge Computing

Executive Summary: TransGlobal Logistics lacked visibility into their 420-truck fleet, leading to inefficient routing and frequent breakdowns. Varcio deployed a comprehensive Azure IoT solution, enabling real-time tracking, predictive maintenance, and dynamic route optimization.

11%Fuel Saved

420Fleet Size

<150msLatency

The Challenge

Dark Assets: No data from trucks once they left the depot.
Fuel Waste: Inefficient routing cost millions annually.
Unplanned Downtime: Breakdowns caused shipment delays.

Our Solution

Varcio deployed an Azure IoT solution:

Azure IoT Hub: To ingest telemetry data from truck sensors.
Stream Analytics: To process data in real-time and alert drivers of engine anomalies.
Machine Learning: To predict maintenance needs before breakdowns occurred.

Performance Metrics

Fleet Efficiency Metrics

On-Time Delivery

Fuel Efficiency

Asset Utilization

Before

After

Implementation Roadmap

2 Months

Hardware Pilot

Installing sensors on 20 test trucks.

3 Months

Data Pipeline

Building ingestion pipelines on Azure.

3 Months

ML Training

Training failure prediction models.

6 Months

Fleet Rollout

Deployment to all 420 vehicles.

Key Results

Predictive maintenance reduced breakdowns by 18%. Real-time routing saved 11% on fuel costs annually, translating to six-figure savings and a lower carbon footprint.

"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."

— Elena Rodriguez, Operations Director