By paying attention to trends with by-the-minute accuracy, these clothing brands change out their stock constantly to engage shoppers

Stocking clothings stores can be a tricky business, especially as micro-trends come and go on a seemingly daily basis. But new leaps in technology have allowed brands to revolutionize the ways they buy and merchandise their products. By harnessing data and employing predictive analytics, these retailers are improving efficiency, strategy and inventory management.

Nike
In its Nike Live concept stores, the sportswear retailer stocks products based on the shopping preferences of local users. Using data collected from its NikePlus app, each store’s merchandising mix is dictated by items local consumers are buying. Every two weeks, the store adds new inventory based on the local market, much faster than the brand’s usual turnaround of 30-45 days.

The Trending Store
The Trending Store was a pop-up in London that only stocked 100 items, each of which was trending on social media. Using AI and machine learning, the store tracked over 400,000 fashion influencers, identifying the most popular clothing and accessories on a given day. A team of stylists then tracked down the 100 pieces and similar items to make them available in-store on the same day.

Heyshop
Chinese ecommerce platform Heyshop opened a brick-and-mortar concept store in Shanghai with a product assortment and layout that continually changes based on big data analysis. The store’s minimal, modular fixtures allow it to adapt easily to selling clothing one day and home goods the next—an ability that has turned Heyshop into a tastemaker among its customers.


Lead image: Xianjuan HU/Unsplash

Stocking clothings stores can be a tricky business, especially as micro-trends come and go on a seemingly daily basis. But new leaps in technology have allowed brands to revolutionize the ways they buy and merchandise their products. By harnessing data and employing predictive analytics, these retailers are improving efficiency, strategy and inventory management.

Nike In its Nike Live concept stores, the sportswear retailer stocks products based on the shopping preferences of local users. Using data collected from its NikePlus app, each store’s merchandising mix is dictated by items local consumers are buying. Every two weeks, the store adds new inventory based on the local market, much faster than the brand’s usual turnaround of 30-45 days.