Reduce Shrinkage While Improving Customer Experience
Self-checkout environments continue to create operational challenges for retailers worldwide. Silent Vision provides intelligent monitoring capabilities that identify suspicious checkout behavior, transaction anomalies, and operational exceptions in real time. The platform helps retailers reduce losses while maintaining a seamless customer experience.
Catch What They Don’t Scan in Real Time
Self-checkout (SCO) is efficient for customers — and enticing for fraud. Silent Vision's Self-Checkout Fraud Detection solution uses AI-powered video analytics to monitor SCO stations and flag fraudulent behavior like item skipping, barcode switching, and unauthorized bagging in real time.
Self-Checkout Intelligence
Reduce Shrinkage While Maintaining a Seamless Customer Experience Silent Vision continuously monitors self-checkout environments to identify transaction anomalies, suspicious customer behavior, and potential loss events in real time. By combining computer vision, behavioral analytics, and operational intelligence, the platform helps retailers reduce shrinkage while improving checkout accuracy and operational efficiency.
Unscanned Item Theft
Identify Items That Bypass The Checkout Process
Detect situations where products are not properly scanned before leaving the checkout area. The platform monitors item movement and customer interactions to identify products that are placed directly into bags, concealed beneath other items, or moved through the checkout process without a valid scan event.
Checkout Fraud Detection
Detect Product and Pricing Fraud
Monitor for suspicious scanning behavior that may indicate barcode switching, tag swapping, or deliberate product misrepresentation. Silent Vision helps retailers identify potential cases where lower-priced items are scanned in place of higher-value merchandise.
Improper Bagging Behavior
Prevent Concealment and Bagging Manipulation
Identify behaviors commonly associated with self-checkout abuse, including premature bagging, concealment attempts, and misuse of bagging workflows. The system can detect situations where customers select options such as "Own Bag" or bypass expected checkout processes before items have been properly scanned
