Today managing available capacity is a manual process. This often leads to underutilized assets — excess capacity or situations where not enough capacity is available.
Goals and Objectives
Develop mode and route modeling capabilities that maximize available capacity based on short-term demand forecasts. Adjust capacity requirements, thereby reducing empty miles.
Cloud applications, network and routing optimization software, procurement, and transportation management systems
Use Case Summary
Daily order/shipment data is captured, allowing logistics providers to either request additional capacity from carriers or notify shippers that excess capacity exists on a given lane. Middle mile between central and regional DCs is an example.