Logistics · Operations
LogiTrack Fleet Management
Real-time fleet management and AI-powered route optimization for a national logistics provider operating 400+ vehicles across 23 cities.
The Problem
Manual dispatch, no real-time tracking, and fuel costs spiraling due to inefficient routing and zero visibility into driver performance.
Our Solution
GPS-tracked fleet dashboard with AI-powered route optimization, driver performance scoring, predictive maintenance alerts, and automated dispatch.
Our Role
Backend engineering, real-time systems, map integration, ML model development, analytics dashboard.
Tech Stack
Architecture
Real-time data pipeline with Azure Event Hubs. ML model for route optimization retrained weekly on historical delivery data.
Our Approach
Started with GPS tracking only - built trust before adding AI features
A/B tested AI routes against manual routes for 4 weeks before full rollout
Built offline-capable mobile app for drivers in low-connectivity zones
Weekly ride-alongs with dispatchers to calibrate the optimization model
Key Challenges
Handling 400+ simultaneous GPS streams with sub-second latency
Building a route optimizer that accounts for traffic, weather, and delivery windows
Convincing experienced dispatchers to trust AI-generated routes
Operating reliably in areas with poor cellular coverage
Results
22%
Fuel savings
98.3%
Delivery accuracy
+17%
Fleet utilization
4 months
ROI timeline