CASE STUDY

JOANN Cuts Allocation Time by 90% with InventorySmart

Explore how JOANN, a leading fabric and craft specialty retailer, streamlined its inventory allocation process with Impact Analytics’ InventorySmart. With over 140,000 SKUs, including a significant portion of seasonal items, JOANN faced challenges in predicting demand and allocating stock efficiently, especially during COVID-19. By implementing InventorySmart, JOANN automated its multi-step allocation process, reducing manual effort and improving forecasting accuracy to over 90%. This case study demonstrates how InventorySmart’s AI-driven forecasting engine transformed JOANN’s operations, enhancing demand prediction, reducing errors, and optimizing inventory allocation. To read more, download the case study today!

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