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Inventory analytics and reporting: Turning data into impacts

Most businesses already have mountains of inventory data. The problem? It often sits in spreadsheets, static dashboards, or siloed systems. Data without context doesn’t help a planner decide which SKUs to replenish, where to cut safety stock, or how to respond when a supplier slips.

How AI can improve your inventory classification and management practices

ABC classification has long been the backbone of inventory management. By ranking SKUs into A, B, or C groups, managers decide which items demand the most attention. But traditional methods rely heavily on spreadsheets or static ERP settings, which are time-consuming to maintain and can’t keep pace with today’s unpredictable supply chains.

Make Smarter Inventory Decisions with Generative AI

Picture this: A boutique owner stares at her holiday inventory plan, remembering last year’s costly mistakes. During peak season, she ran out of bestsellers, losing valuable sales. Meanwhile, unsold holiday items piled up, forcing steep markdowns that ate into profits.

How Supply Chain Planning Software Can Streamline Your Operation

The struggle is real: A warehouse manager sifts through conflicting inventory reports while backorders pile up and customer complaints roll in. One corner of the warehouse is packed with unsold stock, tying up cash, while production slows down because essential parts are missing—again.