System Providing Self-Service Access To Locked Merchandise

What is this patent about?

’910 is related to the field of retail loss prevention and customer experience enhancement. Retailers face a constant challenge in balancing the need to protect high-value merchandise from theft with the desire to provide a convenient and satisfying shopping experience for legitimate customers. Traditional methods, such as locking up merchandise, often deter theft but also frustrate customers and lead to lost sales.

The underlying idea behind ’910 is to provide self-service access to locked merchandise based on an individual's trustworthiness. The system identifies shoppers, monitors their behavior while they interact with the merchandise, and uses this information to determine whether to grant or deny future access. This allows retailers to protect their products without inconveniencing trusted customers.

The claims of ’910 focus on a self-service method that involves providing a merchandise display with locked merchandise, maintaining a database of individuals who have opted into the self-service system, receiving personal identifying information from individuals attempting to access the merchandise, authenticating that the individual has previously opted in, and automatically enabling access to the merchandise for authenticated individuals. The claims also cover the use of sensors to detect the behavior of individuals interacting with the merchandise display or the merchandise itself.

In practice, the system might use facial recognition, a retailer's app, or a loyalty card to identify a shopper approaching a locked display case. Once identified, the system checks the shopper's 'Trusted Shopper Score' (TSS) , which is based on their past behavior. If the score is above a certain threshold, the case unlocks automatically. Sensors monitor the shopper's actions, such as the number of items removed and the speed of removal, and adjust the TSS accordingly. Suspicious behavior triggers deterrents like alarms or notifications to store personnel.

This approach differs from traditional methods by providing a more nuanced and personalized approach to loss prevention. Instead of treating all customers the same, the system differentiates between trusted and untrusted individuals, allowing retailers to provide a better shopping experience for the majority of their customers while still protecting their merchandise. The system also incorporates a self-calibration mechanism that automatically adjusts suspicious event thresholds based on statistical analysis of customer behavior, making it more adaptable to changing conditions and merchandise assortments.