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Automatic unmanned vending machines and new retail, where should the retail industry go in the future

With the rapid penetration of modern information technologies such as the Internet, big data, cloud computing, Internet of Things, and artificial intelligence, my country’s retail industry has also ushered in changes. Many industry giants have increased their tension in offline retail channels. New retail formats such as vending machines and unmanned supermarkets continue to emerge. This wave may affect the future trend of the retail industry in the next few years. Commercial giants have made a strong march into new retail, and have continuously reached strategic cooperation in new retail with representatives of large supermarkets and supermarket groups. This means that these large Chinese supermarket groups will use big data and commercial Internet as the core, complete the reconstruction and upgrade of people, goods, and markets through comprehensive digitalization, and join the new retail revolution from dual channels in business models and capital structures. China's large supermarket stores will be upgraded to new retail. Some believe that new retail, which is a strong combination of e-commerce leaders and stores, is expected to become a new direction for new retail in the future. Although this round of wind will cause related industrial effects, as far as the current development stage is concerned, the format of new retail is not mature enough. New retail, mainly unmanned convenience stores and unmanned supermarkets, is still in preliminary planning and application. This means that the popularization and maturity of new retail will take a long time to develop. And automatic unmanned vending machines driven by intelligence and big data, through convenient services to improve user experience, already have a mature market and fixed user groups, and become the main form of the retail industry. With the development of automatic vending systems based on cloud computing, big data, and intelligence, coupled with the advantages of automatic unmanned vending machines, such as small footprint, saving labor costs, and rapid laying of channels, automatic unmanned vending machines are expected to become a A brand-new retail industry format. The core of the huge development potential of automatic unmanned vending machines is not only self-service convenience and 24-hour sales, but more importantly, in the future, automatic unmanned vending machines will pay more attention to big data and precision marketing. Based on the constantly intelligent vending system, it can help customers realize intelligent operation, driving not only thousands or tens of thousands of automatic unmanned vending machines, but also a brand-new business model. In addition, as far as the current stage is concerned, the automatic unmanned vending machine is more practical than the new retail. It can reconstruct the three elements of consumers, scenes and commodities, and simplify the complicated shopping procedures of offline stores. At the same time, because the operation risk and maintenance cost are greatly reduced compared with unmanned supermarkets or convenience stores, automatic unmanned vending machines are also more suitable for large-scale operations. At present, automatic unmanned vending machines are becoming more and more intelligent. Today, when unmanned management is advocated, automatic unmanned vending machines will get more applications offline. The rise of e-commerce has made new retail and automatic unmanned vending machines become the darlings of capital. In the next development, who will become the new outlet for retail and will bring users in the experience Gradually demonstrate strength.

Additionally, Haloo Automation Equipment Co., Ltd has a few new features planned to roll out in the app to provide more convenience, comfort and options to our clients.

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To properly understand what customers want, when, why and how they want it, Haloo Automation Equipment Co., Ltd needs to pivot toward sentiment analysis, a burgeoning technology that taps into consumer demand based on natural language processing.

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