Case Study

No “blind spot” transportation

Planning your transport operations to meet service-levels at the lowest cost possible. Planning right. Forecasting net loads, dispatchable products daily across your distribution network is not a child’s play. Combined with Intelligent Scheduling, you can change the economies of operations.

Business Challenges

Managing truck loads to deliver products across the supply chain (from farm to DC and outbound to Stores/Restaurants) was inefficient, unproductive and cost expansive.

CBC Solutions

CBC built a fleet optimization solution for the manufacturer/distributor to begin the transportation planning on the right note. A day/week wise plan is created by lanes following historical information and external factors that induce demand changes to previous plans.

Benefits realized by Customer

Using AI/ML in transport planning, the manufacturer/distributor was able to reduce the number of assets (trucks and vans) needed to meet the demand within customer’s expected SLAs. Typical cost savings of 15%~20% was achieved within the first year of deploying the solution.

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