AI route optimisation and automated dispatch, warehouse to last mile

The problem

Modern logistics operations involve managing thousands of moving parts simultaneously — drivers, vehicles, warehouses, delivery routes, and customer expectations. Our challenge was building an AI engine that could ingest real-time data and make route and dispatch decisions faster and more accurately than manual planning. We developed a predictive demand model that anticipates volume surges and adjusts resource allocation proactively. The tracking module provides sub-minute location updates via GPS integration. A driver mobile app syncs seamlessly with the platform, enabling two-way communication, proof-of-delivery capture, and real-time status updates. Machine learning models continuously improve routing efficiency based on historical delivery performance data.

What we built

• AI-assisted route planning and optimisation.
• Automated dispatch, with the reasoning recorded against each allocation.
• Real-time shipment tracking end to end.
• Performance analytics over completed movements.
• Full supply chain visibility from warehouse to last-mile delivery.

What made it hard

A logistics operation is thousands of moving parts at once: drivers, vehicles, warehouses, routes and customers with expectations. The engine had to ingest live data and make routing and dispatch calls faster than a planner could — and then be able to justify each one afterwards.

How we built it

• A predictive demand model that anticipates volume surges and adjusts allocation before they land.
• Sub-minute location updates through GPS integration.
• A driver mobile app syncing two ways with the platform: proof of delivery, status and messages.
• Routing models that improve from historical delivery performance instead of staying fixed.
• The reasoning recorded against each allocation, so a decision can still be explained a week later.

Who it is for

Logistics companies, third-party logistics providers, and businesses running distribution complex enough that allocation has become somebody's full-time job.