The expansion of self-checkout systems in supermarkets and retail stores has improved speed and customer autonomy during the purchasing process. However, it has also introduced new challenges for retailers, particularly in terms of exit control and loss prevention in-store.
To address this challenge, more and more stores are adopting intelligent monitoring and behavior analysis technologies capable of supervising self-checkout areas and verifying purchase processes. To meet this need, we developed Sesame Solution, an AI-powered sensor system designed to reinforce exit control in retail environments, especially in self-checkout zones. Installed overhead, the system monitors user activity in the exit area, detecting all individuals interacting with the payment zone.
Thanks to its process recognition technology and movement analysis, our AI-powered exit control system can identify whether the purchase process has been completed correctly. In this way, the system allows exit only to customers who have completed payment, integrating with gates and access control systems to create a safer, more automated and efficient shopping environment.
AI-powered exit control system features
• Enhanced security in self-checkout systems: Sesame Solution strengthens security in self-checkout (SCO) areas through AI-powered sensors installed overhead that analyze user interaction with the payment process. The system recognizes whether the purchase has been completed before allowing exit, acting as a deterrent against shrinkage and improving exit control in high-traffic retail environments.
• Faster and frictionless exits for customers: thanks to automatic analysis of the purchase process and movement in the self-checkout area, customers who have completed their purchase can leave the store without scanning receipts or requesting staff assistance. This helps streamline exit flow, improve the shopping experience and reduce congestion in checkout areas.
• Integration with access control systems and exit gates: Sesame Solution can be integrated with automatic gates such as AlphaGate or SigmaGate, enabling the configuration of a checkout and exit control system tailored to each store. This integration creates a complete ecosystem for security and customer flow management in retail, combining artificial intelligence, access control and automated exit processes.
Customer behavior analytics in retail with artificial intelligence: optimizing flows and preventing losses
In addition to strengthening security in self-checkout areas, Sesame Solution incorporates advanced retail customer behavior analytics capabilities. Through its AI-powered overhead sensors, the system analyzes customer flows and interactions within payment and exit areas, generating valuable data on how users move throughout the store. This information allows retailers to better understand traffic patterns, identify friction points in the customer journey and optimize the management of checkout and exit areas.
At the same time, intelligent data analysis helps detect suspicious behaviors or patterns associated with shrinkage, enabling store teams to anticipate potential incidents and implement preventive measures. In this way, Sesame Solution acts not only as a real-time control system but also as a strategic tool to improve security, operational efficiency and customer experience in retail. With this combination of artificial intelligence, data analytics and exit control, retailers can move towards safer, more automated and data-driven stores.
