Last-Mile Route Optimization uses AI to sequence delivery routes under constraints, enabling lower delivery cost, by optimizing stops, capacity, windows, and traffic, across last-mile dispatch and route planning.
Last-mile cost is dominated by how stops are sequenced against vehicle capacity, time windows, traffic, and service constraints. Manually built routes leave vehicles underused and miss windows, inflating cost per delivery and eroding service.
The AI runs optimization over delivery stops, vehicle capacity, time windows, traffic, and service constraints, producing routes that complete the day's deliveries at the lowest feasible cost.
Lowers delivery cost per stop and increases the share of deliveries made within their promised window.
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