RFID movement tracking can be paired with sales data and video data to determine if items left the store in larger quantities than were purchased at that specific time. With this data aggregated, retailers can see systematically which exact items were stolen, which door they exited through, at what exact time, and have HD video of the specific perpetrator.

By aggregating and plotting RFID item movement throughout a store, retailers can begin to draw conclusions about how people and products navigate the physical confines of the space. Benefits may include monetizing high-traffic endcaps, tracking in-store cart or product abandonment, removing physical pinch points, and understanding how certain product categories or items correlate to different paths in the store at different times of day, days of the week, etc..

Another use case is linking product usage to marketing to create future sales. For instance, if a retailer’s app could track activities or read from other apps, it could enable unique capabilities. For one specific example, if running shoes were RFID enabled (the item itself, not the packaging), your phone or watch could recognize when you are wearing those shoes on a run. When the shoes approach expected end-of-life (based on miles run, user weight, user speeds) the retailer could trigger a coupon to replace that shoe with the newest iteration..