The case study explains how Evriholder Products improved demand planning and reduced inventory costs by adopting TransImpact’s AI-driven platform. Rapid product expansion created nearly 9,000 SKUs and made forecasting difficult using legacy tools. With TransImpact’s solution, the company increased forecast accuracy from 40% to 70%, identified and eliminated 7,500 underperforming SKUs, and reduced excess retail inventory by $14 million without impacting product availability. The new system enabled more data-driven planning, streamlined operations, and improved scalability, helping Evriholder better align inventory decisions with demand while supporting continued growth.

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