Recently, the China Chain Store & Franchise Association has released the group standard "Implementation Guidelines for Loss Prevention in Self-Checkout Areas" (T/CCFAGS 040 - 2023). This standard provides content such as the loss prevention capacity building of retail enterprises including supermarkets, convenience stores, specialty stores, and exclusive shops, as well as the implementation process of loss prevention in self-checkout areas and the application guidelines of visual AI for loss prevention. Wumart Group, a partner of DMALL AIoT, as the main drafting unit of the standard, has become mature in the application of loss prevention in self-checkout areas. DMALL not only empowers with digital technology, but also optimizes details such as the shopping process, personnel management, and the design of the checkout area, providing the best practices in the industry. As an industry leader, the intelligent loss prevention solution of DMALL AIoT has been highly recognized in the formulation of this standard, bringing efficient assistance to retail partners and promoting the progress of the industry through the joint establishment of the standard. At the same time, DMALL AIoT provides retail enterprises with full-scenario intelligent equipment and solutions, including Intelligent Convenience Guard, Intelligent Replenishment, and Self-Service Receiving, which have helped many enterprises truly achieve cost reduction and efficiency improvement, serving domestic and foreign first-class retailers such as Metro, DFI Group, Guangdong 7-Eleven, and Wuhan Zhongbai. The formulation and release of this standard aims to enhance the loss prevention ability of enterprises in the self-checkout process through technical means, helping enterprises establish a closed-loop management system covering the entire process of before, during, and after the event.

In recent years, with the accelerated pace of retail digital upgrading, supermarket chains, convenience stores, and discount store chains in China have gradually adopted self-checkout systems to replace manual cashier lines. Self-checkout is more convenient and fast, not only improving the shopping experience of customers, but also saving labor costs for enterprises. However, the resulting significant increase in losses due to missed scans and theft of goods. Although the store surveillance covers the self-checkout area and records the purchase videos of customers, due to the failure of effective integration of order information and video systems in most enterprises, it is a huge and inefficient task to discover abnormal events by manually processing a large amount of videos. There is an urgent need to use new technologies to automatically identify abnormal personnel, integrate order information, achieve accurate identification and order traceability, and ensure the recovery of losses.

As early as 2017, DMALL and Wumart jointly initiated the "Self-Checkout" era, and the two major methods of "Self-Shopping" and "Free Shopping" have been widely recognized by consumers. With the gradual application of artificial intelligence AI algorithms, big data, and Internet of Things technology, it entered the "Visual AI" era in 2022, effectively solving the problem of theft and damage in the self-checkout settlement scenario through Visual AI. At this stage, a consensus has been reached on the technical framework for carrying out visual loss prevention in the self-checkout area. With the continuous development of AIoT (Artificial Intelligence Internet of Things) technology, the background system and algorithms will be continuously iterated, but the business architecture and service content presented at the front end have basically matured, meeting the conditions for the introduction of standards.

At the same time, the market size of self-checkout is continuously expanding. Compared with leading enterprises that have accumulated digital loss prevention experience, such as Wumart, Chongbai, and Walmart, more enterprises in the industry hope to understand and obtain relevant references to objectively understand the overall picture of the technical application functions and the key points of business implementation. Therefore, through the group standard method, the implementation guidelines for visual loss prevention in self-checkout are introduced, comprehensively sorting out the work processes of video loss prevention, equipment configuration requirements, the architecture and operation of the system, etc., to achieve the cross-border integration of standardization and technology, reduce the trial and error costs of this business for retail enterprises, and allow the standards to play a role in improving the efficiency of the industry. In the future, DMALL looks forward to promoting the implementation of advanced standards through empowering the retail industry to jointly promote the vigorous development of the industry.