H&M is counting on in-store data to customize their inventory and combat slow in-store sales. For instance, analyzing purchase data at one Stockholm location led the fast fashion giant to cut 40% of their inventory and beef up their female-focused stock, from floral apparel to crockery and surprisingly high-end accessories. One H&M exec explains that they “can now be sharper, more accurate and hyper-relevant, not have one solution that fits all.” (WSJ)
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