3VR is one of many companies selling “big data video-mining” to retailers. It can figure out a customer’s age, gender and mood, on a scale of 1 to 10, in real time.
As retailers battle to make their brick-and-mortar stores more productive in the age of e-commerce, 3VR is among companies looking to help them through what's been dubbed "big data video-mining."
3VR, at this week's National Retail Federation expo in Manhattan, showed off video cameras that can, with great accuracy, peg the age, gender, and mood of passersby in real-time, displayed in labels underneath one's image. (My mood was deemed a 3 out of 10 while I stared at the camera in surprise but it recalculated to a 10 when I smiled.) A retailer using 3VR in its stores would presumably be able to see those pieces of information at any given moment using a "Storeview" feature in the startup's business intelligence dashboard, or just get it in aggregate later through a report analyzing demographics for the week. (For example, what days and times do 26-year-old women tend to come in? When are they happiest? How long do they stay and in front of what displays?)
While retailers have long paid for people-counting services like ShopperTrak to manage staffing and analyze foot traffic, new advances in technology have made it possible to get a heck of a lot more detail on the crowds, and faster.
Via Twitter: @3VR
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