Logistics & Fleet Orchestration

Problem Statement

Logistics companies suffered from 'black hole' delivery windows and inefficient routing, leading to excessive fuel consumption and poor customer satisfaction. Dispatchers had no real-time visibility into driver locations or status, making it impossible to react to delays or optimize routes dynamically. This lack of transparency resulted in missed delivery promises, high driver turnover, and a significant negative impact on the brand's reliability.

Our Solution

We developed a high-fidelity tracking system that provides real-time GPS coordinates, route optimization using genetic algorithms, and automated ETA communication for end-customers. The system uses PostGIS for advanced geospatial queries and Socket.io for live driver location streaming to the dispatch dashboard. The routing engine considers real-time traffic data, delivery windows, driver hours of service, and vehicle capacity to generate the most efficient routes. An integrated proof of delivery (POD) module captures e-signatures and photos on arrival.

Key Features

• Live Geospatial Fleet Tracking with geofencing alerts for arrival and departure.
• AI-based Dynamic Route Optimization using genetic algorithms and real-time traffic.
• Automated Delivery Proof (E-Sign/Photo) with timestamped geolocation.
• Driver Behavior & Fuel Analytics to promote safe and efficient driving.
• Customer Real-time Tracking Portal with accurate ETAs and driver contact info.
• Automated dispatch and assignment logic based on driver proximity and capacity.
• Comprehensive reporting suite on on-time performance, fuel usage, and fleet utilization.