Machine Learning and Inventory Optimization Accelerate Success for Uni-Select
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.
"Even with great fluctuation of demand, we became more accurate in our forecasting. This improvement made a huge difference in our daily operations."
Read the Case Study
Uni-Select achieves reduced inventory, greater forecasting accuracy and lower costs with Manhattan Demand Forecasting and Replenishment.