Keeping abreast of shopping trends online is straightforward enough ‚Äî whole categories of startups achieve this with predictive modeling. But what about when that shopping takes place in-store? Tracking the behaviors of mall, outlet, and department store shoppers is of critical importance to physical store brands, particularly considering that the percentage of brick-and-mortar sales increased by 2% from $2.99 trillion in 2016 to $3.04 trillion in 2017.
To meet this need, Miron Mironiuk founded¬†Cosmose AI, a Shanghai-based analytics software provider that anticipates how people shop offline. Brands like Subway, Samsung, Walmart, Airbnb, Tencent, Burberry, Omnicom, Mercedes-Benz, Anheuser-Busch InBev, LVMH, Kering, L‚ÄôOr√©al, Gucci, Cartier, P&G, Nestle, and Coca-Cola use its tool suite to granularly track offline visitors‚Äô purchasing habits and target them with online ads via WeChat, Weibo, Facebook, Google, and over 100 other internet platforms.