Overview
Our AI logistics systems solve the Vehicle Routing Problem (VRP) at enterprise scale — combining constraint-based OR solvers with live data feeds to compute optimal routes continuously throughout the day. We model your full operational network: depot locations, vehicle capacities, driver schedules, customer time windows, and SLA constraints. The system integrates with traffic APIs, weather services, and vehicle telemetry to adapt routes in real time as conditions change. All routing decisions are explainable and auditable — operators can inspect, override, and approve suggestions before they reach drivers.
Implementation Pipeline
Network Modelling
Model your fleet, depots, customer locations, and service constraints.
Solver Selection
OR-Tools, Google Fleet Routing, or custom ML solver based on problem scale.
Real-time Data Integration
Connect traffic APIs, weather feeds, and IoT vehicle telemetry.
Dynamic Re-routing
Continuous re-optimisation as conditions change throughout the day.
Driver App Integration
Optimised routes pushed to driver mobile apps with turn-by-turn navigation.
Use Cases
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Share your requirements and we'll put together a tailored deployment plan.
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