TECH SUPPLIER Mar 2022 - IDC Survey Spotlight - Doc # US48655522

How Camera Vision and Sensors Are Helping Retailers Become Touch Free


Leslie Hand

This IDC Survey Spotlight highlights adoption trends globally in retail for computer vision. Retail stores are data-rich environments ripe for AI, camera vision, and sensor-driven automation — the kind of automation that makes meeting the customer's expectations in today's omni-channel environment possible. With the maturation of edge and cloud computing, new technologies including computer vision join forces with RFID, beacons, sensors, and Wi-Fi networks to "see" what has previously been invisible to retailers. The resulting data, when analyzed by AI/machine learning algorithms, opens up new possibilities for retailers, driving greater optimization and automation of store floor activities, recognizing fraudulent behaviors, maximizing opportunities for customer/product interaction, and giving shoppers more control over their checkout experiences.

"Computer vision will coexist among other technologies that improve the ability to 'see' or detect things and activities without human line of sight," reports Leslie Hand, group vice president, IDC Retail Insights. "For example, retailers like Walmart and Target have already ramped up RFID initiatives to automatically track inventory/product movements in the supply chain and in the store, but this will not prevent them from investing in computer vision for automated data capture that supports the long list of use cases described in this document. Lidar and Radar are also being applied to create digital twins of physical spaces that will further support merging consumer and employee experiences in the digital and physical worlds. Discussions about the metaverse, 3D representations of product and fitting, and AR- and VR-enabled experiences will add even more technologies to the list. Because of this, plan and implement technologies strategically."


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