The second half of the new retail begins, where is the vending machine demonstration

Walk into a store, choose the goods, and leave without any pause. The system has automatically completed the payment. The unmanned store has undoubtedly become a bright label for new retail. What is the future development trend of the retail industry? What role can the development of emerging technologies such as artificial intelligence play in it? New retail has entered the second half. 'Traditional retail faces three major dilemmas: IQ, EQ, and adverse quotient.' Jiang Qingyun, director of the Marketing Department of the School of Management, Fudan University, said that the retail industry has long been defined as a circulation service industry, followed by technology development and innovation. It is almost irrelevant and lacks the ability of data analysis and decision-making research. Retail companies also lack a clear self-positioning and active self-regulation, and there are problems such as insufficient insight into customers and insufficient management of customers. Jiang Qingyun emphasized that the new era calls for a'retail revolution'. The first half of new retail is mainly reflected in the changes in the field caused by the Internet, which in turn will bring about changes in animal flow, information flow and capital flow. At present, new retail has entered the second half, which is mainly reflected in the characteristics of globalization, mass and customization. Changes in the supply of new technologies, changes in demand for convenience, quality, individuality, and experience, and new technological changes represented by mobile Internet and data technology. According to the degree of standardization of products and the timeliness of demand, the transformation and evolution of retail models can be attributed to four aspects: new convenience stores, new experiential shopping malls, vending machines/unmanned convenience stores, and online retail. 'For some retail products with a high degree of standardization and high demand for immediacy, the future will transform to automatic sales, and services will be provided by automatic vending machines and unmanned convenience stores. On the other hand, online sales are mainly for the retail sector where demand is not high in immediacy and the degree of product standardization is high. ''The future growth momentum of the retail industry is based on consumer demand as the core and technology-supported online and offline new retail,' emphasized by Huang Yu, deputy director of the Shanghai Business Development Research Center, physical commerce and e-commerce It is not a contradiction. The data shows that the two curves are gradually stable and converge, and physical businesses are discovering new consumption potential, especially in service consumption, experience consumption, and diversified and personalized consumer demand. They have obvious advantages. Artificial intelligence is playing an increasing role in new retail. In new retail, artificial intelligence technology is undoubtedly the focus of attention. At the forum, Han Junyan, general manager of UnionPay's business product innovation department, introduced the many possibilities that artificial intelligence brings to new retail. In the unmanned supermarket experience store of UnionPay Commerce, customers scan the code to enter the store, and the camera can capture the customer's posture and facial features, and bind it with the customer's identity to which the QR code belongs. The effective actions and product features of customers in the supermarket will be captured by the camera and correlated. When the customer leaves, the system can automatically deduct the payment and send the deduction information. During this shopping process, core technologies such as computer vision, deep learning, and sensor fusion processing are inseparable. 'The camera is like an eye, able to see what you bought and deduct the money accordingly. In addition, the judgment of artificial intelligence can also be reflected in these aspects: customer behavior is highly abstracted and digitized through visual recognition. For example, when a customer selects a product, the system will push a single product coupon in real time to accurately drive the customer to purchase; or When picking up a product, the electronic advertising screen immediately displays the online best-selling index of the product, or helps customers directly complete the online product order. Artificial intelligence can provide customers with more personalized services through the combined analysis of online and offline data.