Intel Responsive Retail Sensors Drive New Changes in Traditional Retail

The 12th RFID World Application Innovation Conference 2017 took place at the Shenzhen Convention and Exhibition Center, bringing together over 300 leading companies from the RFID industry chain, industry experts, and retail users. The event focused on analyzing industry trends and exploring new development models. During the conference, Mr. Li Feng, Technical Business Manager of the Global IoT Retail Sales Department at Intel China Ltd., presented a talk titled “Intel Responsive Retail Sensor Solution,” sharing an innovative and cost-effective approach to enhance retail efficiency. Mr. Li explained that Intel's motivation for developing this solution stems from two major challenges in the retail sector: inventory management and customer experience. According to industry data, stockouts, overstocking, and inaccurate inventory tracking result in approximately $1 trillion in losses annually, which is about 8% of global retail sales. By addressing these issues, retailers can significantly improve their performance. Additionally, with the rise of mass production, the personalized shopping experience has declined, and Intel aims to restore it through responsive retail solutions. The architecture of the Intel Responsive Retail Sensor Solution includes ceiling-mounted sensors that can adjust signal strength and cover an area of around 15 square meters. These sensors transmit real-time data via wired or wireless connections to a gateway, which acts as a local processing unit before sending the information to the cloud for big data analysis. This three-tier system—sensor, gateway, and cloud—enables efficient and accurate data handling. According to Mr. Li, the key benefits of this solution include real-time inventory tracking, where each RFID tag is read every second, ensuring precise stock levels. Additionally, the system detects when items are moved, allowing it to analyze customer behavior and preferences. This helps reduce losses from misplaced goods, stockouts, and inventory inaccuracies. The solution also enhances sales team efficiency by providing accurate data on product movement, customer traffic, and local demand. The Intel® Retail Sensor Solution has already shown success in real-world applications. For example, in 2016, it helped a Levi’s store in San Francisco reduce out-of-stock issues and boost sales. It has also been used to improve product positioning for other retailers. Mr. Li mentioned that the Intel Rev 1b product has passed Chinese certification and will soon be available in the market. Looking ahead, Intel plans to integrate video analytics, Wi-Fi, and BLE technologies into future versions, enabling features like 3D store modeling and customer behavior analysis. He concluded by expressing interest in finding partners in China to help promote the solution, offering software and hardware support to facilitate its deployment.

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