Computer Vision Analytics Lead to Measurable Loss Prevention Outcomes

Make no mistake: Retail crime is on the rise. In fact, a recent shrinkage report from the National Retail Federation (NRF) found that 57 percent of retailers said organized retail crime (ORC) had increased as a result of COVID-19, while another 50 percent said the same about shoplifting. With so much revenue at stake this holiday season and beyond, retailers should consider every tool at their disposal to improve their loss prevention efforts—and computer vision analytics help address a variety of challenges.

Computer vision analytics from Sensormatic Solutions deliver retail operational insights based on best-in-class deep learning artificial intelligence models. Created in partnership with Intel and optimized for retail using Sensormatic IQ proprietary AI algorithms, computer vision analytics provide easy access to real-time insights, notifications, and reporting in a streamlined, consolidated dashboard. Each computer vision analytic uses streaming video to gather insights into a particular retail use case.

Computer vision analytics are future-focused, flexible, and expandable, and can be added or removed to accommodate ever changing business needs. Helping maximize retailer performance and providing a new level of insight into any retail environment, computer vision analytics, such as Shelf Sweep Detection, Loitering Monitoring, and Slip and Fall Detection, offer a whole new way of enhancing loss prevention efforts. New capabilities are continually in development to help maximize retailer performance.

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To learn more about how computer vision analytics from Sensormatic Solutions can help elevate your loss prevention strategies—and your overall retail operations—visit, or get in touch to start a conversation today.

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