Edge computing is helping retailers tackle theft prevention. With sensors and in-store cameras capturing real-time data, retailers can identify theft as it occurs and take action to prevent it. Retailers can analyze customer behavior patterns over time to identify potential theft risks, such as customers who consistently purchase high-value items and then return them for a refund.
Edge computing is also improving the accuracy of facial recognition and object detection technologies. By processing data locally, retailers can detect theft as it occurs, rather than after the fact. The efficiency of retail operations is also improved by analyzing customer traffic patterns, so retailers can identify areas of the store that are underutilized and reposition merchandise to improve visibility and reduce the risk of theft.
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