LogiTrack — Real-Time Fleet & Logistics Platform

LogiTrack is a comprehensive fleet management and logistics orchestration platform designed for East Africa's growing e-commerce and logistics sector. The platform serves freight companies managing long-haul truck fleets, courier companies managing last-mile motorcycle and vehicle fleets, and enterprise clients who need supply chain visibility across multiple third-party logistics providers. The East African logistics market has specific characteristics that make standard Western fleet management solutions a poor fit: roads are in varying condition and GPS accuracy in dense urban areas like central Nairobi is poor; fuel theft and route deviation are significant operational problems; drivers may be semi-literate and need a simple, SMS-fallback-capable interface; and cargo theft on high-crime routes requires active monitoring and rapid response capabilities. LogiTrack addresses these needs with a real-time GPS tracking engine that processes location pings from IoT GPS trackers on vehicles every thirty seconds, filtering out GPS noise and reconstructing probable routes when signal is lost. The route optimisation engine calculates optimal routes considering current road conditions (sourced from Google Maps and our own crowdsourced data layer), known congestion patterns, and customer delivery windows. The driver app provides turn-by-turn navigation, proof-of-delivery capture, and issue reporting in a single lightweight interface. The platform includes: an advanced geofencing engine with polygon zones for loading bays, restricted areas, and customer sites; a fuel monitoring integration that correlates GPS mileage with fuelling events to detect fuel theft; an automated maintenance scheduling system based on mileage and engine-hours from OBD-II data; a cargo temperature monitoring integration for pharmaceutical and perishable freight; and a customer self-service portal with live shipment tracking and electronic proof of delivery. The architecture is event-driven: a high-throughput message broker (Kafka) receives all GPS and IoT events, real-time processing (Apache Flink) computes vehicle state and triggers alerts, and persistent storage uses TimescaleDB for time-series location data and PostgreSQL for transactional data.