Users now have access to recommendations backed by data science, to help optimize inventories and boost customer service. The application automatically finds opportunities to reduce inventory without impacting service levels. A graphical interface shows each SKU above or below an inventory baseline. The tool also prescribes the optimal inventory quantity and service level for each product, based on the demand forecast and balance of associated cost. "What-if" analyses display the financial impact of raising or lowering service levels, allowing planners to adjust such factors as cost, selling price and lead time in line with risks and upsides associated with different scenarios.
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