Vending machines follow IoT

For today's young people, vending machines may no longer be a new word, and they can be seen in many shopping malls, schools, and places with high traffic such as near subway entrances. However, in many places in China, vending machines have not been popularized. Yunyin said:“Vending machines are no longer simply providing self-service retail services. Ziyoubang will provide high-end technical and service support in the field of smart vending. Through the leading management system of cloud services, it can realize easy management and operation of mobile terminals, and make smart retail terminals fast. While infiltrating, realize the multi-win situation between enterprises, operators and consumers. For downstream distributors, if they want to start a business through vending machines, they only need to find a suitable place or“At this point, investing tens of thousands of dollars in equipment costs in the early stage can realize high-efficiency entrepreneurship. Because the capacity of traditional vending machines is actually very limited, there are not many categories for consumers to choose from, while the smart retail terminal realizes the operation in different time periods through the analysis of big data to meet the different needs of consumers in different time periods. In this mode, not only free investment, small investment, but also extremely low risk. For consumers, it creates more convenience. The update of traditional vending machines is slow, and most of the problems are analyzed and solved by manpower. The retail model of waiting for a rabbit determines that it is difficult for vending machines to exist in scenes with less traffic, such as in office buildings. If you are hungry at noon and you need to buy some For snacks, there are only two ways: either go to the convenience store downstairs, or order takeaway online, it may take 30 minutes here. However, smart retail terminals that invest in big data analysis capabilities provide consumers with a third possibility: through background data analysis, it is found that what products are usually purchased in this place sell the best, and more such products are placed here. Within a 3-minute walk, you can buy what you need. In this case, while enhancing user stickiness, it is easier to generate a repurchase rate.

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