Digital Mission

Dynamic Capacity Balancing

Current Situation

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.

Technology Deployed

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.

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