Machine Learning and Inventory Optimization Accelerate Success for Uni-Select

Female engineer


The challenges of seasonality on demand in one of Uni-Select’s distribution centers resulted in excess inventory and a higher level of exceptions.


Leveraging Manhattan Demand Forecasting and Replenishment with Automatic Policy Tuning capabilities.

Progress & Result

The inventory carried in the distribution center was reduced, resulting in significant savings.


Headquarters: Chatsworth, CA

Distribution Centers: 1

Platform: IBM i



Warehouse Management, Labor Management

"Even with great fluctuation of demand, we became more accurate in our forecasting. This improvement made a huge difference in our daily operations."

Jean-Daniel Potvin

Business Analyst For Forecasting And Demand


Read the Case Study

Uni-Select achieves reduced inventory, greater forecasting accuracy and lower costs with Manhattan Demand Forecasting and Replenishment.

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