
Microsemi Reduces Inventory by Millions Through Improved Forecasting
Case study showing how Microsemi used Steelwedge demand planning to cut inventory costs by millions while improving forecast accuracy.
This case study details Microsemi's implementation of Steelwedge's demand planning solution to address excess inventory and forecast inaccuracy. The project delivered measurable inventory reductions and cost savings by aligning supply chain planning processes with actual demand signals across product lines.
Implemented demand planning software to replace manual forecasting methods
Reduced inventory carrying costs by millions of dollars
Improved forecast accuracy across semiconductor product portfolio
Enabled better alignment between sales projections and production planning
Delivered measurable ROI through lower safety stock requirements