Retail loss prevention isn't a single challenge—it's a complex mix of threats:
- External theft: Organized retail crime, opportunistic shoplifting
- Internal fraud: Cashier theft, employee fraud
- Operational shrinkage: Checkout errors, self-scan mistakes, inventory miscounts
- Safety threats: Violent incidents, warehouse fires
The holiday season amplifies all these risks. What’s required is a solution that provides systematic coverage across all scenarios where losses occur. Today's AI-powered systems work like having dozens of experienced loss prevention specialists watching simultaneously—never getting tired or distracted, and spotting risks humans might miss. The goal isn't to catch criminals after they leave—it's to stop them before they do.
How do you stop repeat offenders at the entrance?
Repeat offenders cause annoying losses. You've probably seen the same person stealing from your store multiple times. The frustrating part? By the time security recognizes them, they're already concealed and the damage is done.
Hikvision's blocklist system flips this timeline. Using DeepinView cameras, DeepinMind NVRs, and HikCentral Professional software, the system creates a blocklist library of known offenders and instantly cross-compares anyone entering against this library. The moment a suspected person re-enters the store, security receives an immediate alert. You can assign extra monitoring or have staff visibly present in areas they typically target—often enough to deter theft. A major South American retailer deployed this across their chain, preventing countless incidents simply through early detection.
Why are AI cameras more effective against shoplifting?
Shoplifting is often the primary reason for retail loss. What’s more, as retail theft tactics and methods have become more sophisticated, the threat is growing. Data shows that shoplifting incidents in the United States surged by 93% in 2023 compared to 2019, with losses of up 90%2. These challenges underline the importance of proactive measures, such as data and insights driven by AI-powered technologies.
Hikvision's AI cameras don't just record—they understand what they're seeing. Importantly, they use a unique shoplifting algorithm based on multimodal AI large models. While conventional algorithms analyze only video-based movements, Hikvision integrates both visual AI models and language models for semantic understanding. It's not just watching for "person puts item in bag" (which describes every legitimate shopper). Instead, it's analyzing the complete picture looking, perhaps, for people who are lingering alone, hesitating, looking around for cameras, or making unusual movements. In real-world applications, this approach proved three times more accurate than traditional video-only systems.