IoT Fleet Management System
Developed a real-time vehicle tracking and fleet management solution with GPS integration and predictive maintenance alerts.
Client
RoadZen
Duration
7 months
Team Size
9 people
Key Results & Metrics
Vehicles tracked in real-time
Optimized routing and driver behavior
Predictive maintenance alerts
Driver safety improvements
The Challenge
RoadZen operated 2,400+ vehicles but lacked real-time visibility into fleet operations. Fuel costs were high, maintenance was reactive, and safety monitoring was minimal.
The Solution
We integrated IoT sensors in vehicles to collect real-time GPS, engine, and driver behavior data. Built a Node.js backend to process IoT data streams and a React dashboard for fleet managers. Implemented ML algorithms for predictive maintenance and route optimization.
Key Highlights
IoT integration with 2,400+ vehicles using GPS and telemetry sensors
Real-time location tracking with sub-second update latency
Predictive maintenance system reducing downtime by 62%
Route optimization algorithm saving 34% in fuel costs
Driver behavior monitoring with safety alerts and coaching
Mobile app for drivers with turn-by-turn navigation
Technologies Used
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