Silent Vision

Self-Checkout Intelligence

Reduce Shrinkage While Delivering a Seamless 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.

Detect What Doesn't Get Scanned

Self-checkout delivers convenience and operational efficiency, but it also creates new opportunities for shrinkage and transaction fraud.
Silent Vision uses advanced behavioral AI and computer vision to continuously monitor self-checkout activity in real time, identifying high-risk behaviors, transaction anomalies, and potential loss events before they impact profitability.
From unscanned items and product substitution to improper bagging behavior and checkout bypass attempts, the platform provides the visibility retailers need to reduce shrinkage while maintaining a seamless customer experience.

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.

Grocery Store Checkout Process During Pandemic

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.

A woman's hands are shown scanning a box of spaghetti at the grocery store's self-checkout service.

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.

Woman pays at self-checkouts in supermarket.

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