Logistics Route Optimizer

A fleet of 25 vehicles making 300+ daily stops plans routes the night before. By mid-morning, traffic incidents, reschedules, urgent additions, and weather make the static plan suboptimal. Dispatchers adjust manually throughout the day.

DHL benchmarks show AI route optimization delivers 12% reduction in transportation spend. McKinsey reports 10-15% fuel cost reduction and 15-20% faster deliveries for companies deploying AI. FourKites' Alan AI reduces manual scheduling workloads by 50%.

Enterprise optimization from Descartes, ORTEC, or Locus requires infrastructure and OR expertise beyond mid-market fleets. They need continuous optimization, not nightly batch runs.

This agent performs continuous route optimization. It starts with an overnight plan considering all constraints: delivery windows, vehicle capacity, driver hours-of-service, equipment, and priorities. Then re-optimizes throughout the day as conditions change.

Real-time feeds include traffic, weather, customer window changes, urgent pickups, and driver status. When conditions change, affected routes recalculate in minutes considering cascading impact on downstream stops and HOS constraints.

Dispatchers see recommendations they can accept or override. The system learns from overrides — if a dispatcher consistently rejects a routing decision, the model adjusts. Driver apps show updated routes with turn-by-turn navigation.