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H&M Looks To Big Data For Store Insights

To reduce markdowns and break out of a lull in sales, H&M is turning to artificial intelligence (AI) and Big Data to tailor its merchandising mix in its brick-and-mortar stores. The fashion retailer is using algorithms to gain insights from returns, receipts and data from loyalty cards to improve its bottom lines, according to news source Retail Dive reports.

H&M is utilizing the technology in a store located in an upscale section of Stockholm, Sweden. It has so far learned that women make up most of its customer base, and that fashionable items such as floral skirts have sold at better-than-predicted rates. Sales have improved with these insights, and H&M is moving away from the idea of stocking each location with a similar selection.

Source: pymnts.com
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