"Preventing Missed Payments"... CU Introduces 'AI Vision Self-Service POS Payment Solution'

Collaboration with Shinsegae I&C
AI Camera Provides Real-Time Analysis

On August 11, BGF Retail, the operator of convenience store chain CU, announced that it will introduce an 'AI vision-based self-service POS payment management solution' in collaboration with Shinsegae I&C.

This solution utilizes an AI camera to analyze the self-service POS usage process in real time, aiming to prevent missed payments in advance and support customer convenience and stable store operations. In the existing self-payment environment, it was often the case that payment completion could not be properly confirmed due to the user or the surrounding environment. With this new technology, AI clearly guides customers through the payment process to minimize inconvenience and further improve the efficiency of self-service POS systems.

If a customer leaves the self-checkout station without completing payment, the AI immediately detects this and displays a notification on the screen indicating that the payment has not been completed, guiding the customer to finish the transaction correctly.

In particular, this solution has been developed for convenience store environments so that it can be implemented simply by installing a single ultra-compact AI camera on the self-service POS. The camera is equipped with a Video Processing Unit (VPU) capable of AI computation, allowing it to analyze video data independently without requiring a separate server or mini PC. Additionally, as the solution can be applied simply by attaching the camera without replacing the existing self-service POS or integrating complex systems, the cost and installation burden are significantly reduced.

CU plans to enhance the stability of self-service POS and improve franchisee operational convenience by adopting this solution. By utilizing self-service POS, stores can reduce the number of staff required for payment transactions during nighttime hours or peak periods, allowing personnel to focus on other tasks such as product display, store management, and customer service.

Beginning in September, both companies will conduct additional pilot operations of the solution across various CU store locations. They plan to analyze store usage data from multiple angles, including customer flow, payment patterns, dwell time, and queue length, to gain operational insights that can help improve store management.

Park Junyong, Head of Digital Innovation at BGF Retail, stated, "AI technology goes beyond simple automation to become a core competitive edge in retail by simultaneously improving customer convenience and store operational efficiency. Going forward, we will continue to expand a smart retail environment with a range of AI-based services and actively adopt technologies that provide tangible benefits for store operations."

This content was produced with the assistance of AI translation services.