Smart Transportation Planning

Client

A leading Dutch food distributor managing over 600 trucks and 3,000+ daily truckloads, connecting producers and retailers across the supply chain.

Challenge

With thousands of deliveries every day, transportation planning involved complex decisions:

• Which routes are most efficient?

• Which orders should be combined?

• What vehicle and driver should be assigned?

• How can fleet utilization be optimized while reducing costs?

Solution

We developed a Business Model and Agent-Based Model (ABM) that digitally represented the transportation network, including locations, vehicles, drivers, capacities, operational constraints, and cost structures.

The model continuously evaluated planning scenarios and automatically identified the most efficient routes and resource allocations, integrating directly with the Transportation Management System (TMS).

Results

• 45% reduction in transportation operational costs

• 52% reduction in planning labor costs

• Improved fleet utilization

• Faster and more accurate planning

Business Impact

By modeling the transportation ecosystem before execution, the organization transformed complex planning into a data-driven optimization process, achieving significant cost savings and operational efficiency.