Retailers are increasingly leveraging self-checkout (SCO) systems to reduce customer friction, improve margins, and better compete with online shopping convenience. Meanwhile, self-report, video, and other evidence indicates current SCO deployment models create significant intentional and accidental losses and resulting inventory distortions. We’ll describe and discuss a self-serve checkout system deployed at scale in a major U.S. retailer that significantly reduces losses by turning AI insights into real-time protective and service action. A senior retail asset protection executive, a university criminologist, the system’s developer, and an AI expert will discuss this real-world program, while describing how it and several other AI initiatives fit into an emerging operational framework.
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