Solution Cross-industry
Transport Route and Fleet Optimization
Build delivery routes against real constraints (vehicle capacity, driver hours, time windows and traffic), and re-optimize when the day changes rather than absorbing the disruption.
Constraint-completeCapacity, hours, windows and access
Re-optimizedWhen the day changes, not patched
CompliantDriver hours enforced by the model
Typical outcomes for this kind of engagement. Results depend on your data and starting point.
THE CHALLENGE
Delivery routing is built manually or by rules that cannot handle the real constraint set, so vehicles run partly loaded, drivers back-track across the territory and time windows are missed often enough that customers stop trusting them.
- Routes built manually or by rules that cannot handle the real constraint set
- Vehicles running partly loaded while others are over capacity
- Time windows missed often enough that customers stop trusting them
OUR APPROACH
CloudGate models the real constraint set (vehicle capacity and type, driver hours and skills, delivery time windows, access restrictions and live traffic), and generates routes against a configurable objective.
- Constraint model covering capacity, vehicle type, driver hours, time windows and access
- Live traffic and travel time integrated into route generation rather than assumed
- Configurable objective across cost, service level and vehicle utilization
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