Logistics case study
AI route optimisation and automated dispatch, warehouse to last mile
Nexa Move is a logistics and supply chain platform covering the journey from warehouse through to last-mile delivery.
The problem
Allocation decisions depended on the planners who knew which driver suited which lane. That knowledge was not written down, allocation slowed when those people were unavailable, and nobody could explain afterwards why a particular load went the way it did.
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.
The product
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