Case Study
Case Study: A leading fast fashion retailer
A leading North American fast fashion retailer operating over seven hundred stores implemented Algonomy’s Assortment Edge software to transform its heavily manual merchandise and size planning operations. Managing three hundred product groups across extensive locations originally demanded over eight hundred thousand monthly man-hours, causing steep financial-to-range plan variances and massive overstocking. Algonomy’s advanced artificial intelligence algorithms automated store-level range planning into single-click workflows, evaluating granular product attributes and consumer segments via machine learning. This automated demand-driven assortment depth and size pack allocation successfully slashed plan variance down to three percent, lowered overstock and understock rates by four percent,
