EDITED Uses Machine Learning to Help Retailers Conquer The Billion-Dollar Activewear Market

EDITED, the source of real-time data for brands and retailers, has launched the first software feature to help companies capitalize on  the billion dollar activewear market. Demand and sales in activewear continue to skyrocket globally, as more non-specialty retailers and premium brands launch activewear labels and  compete aggressively with other retailers. EDITED’s new “Sports and Active” feature is the only software available dedicated to on-demand activewear  product and pricing insights. Available now, the feature allows brands and retailers to: Filter activewear versus non-active wear – Separate items to gain greater granularity and analysis into the category, while comparing it to the overall apparel and accessories market; Analyze by lifestyle or type – Differentiate between athletic attire versus athleisure or “sports influenced” products, or evaluate particular apparel or accessory category; Drill…


Link to Full Article: EDITED Uses Machine Learning to Help Retailers Conquer The Billion-Dollar Activewear Market

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