In the context of the new retail era, there are also big data and intelligence, and the future prospects of vending machines are considerable. In the past, the retail method was hypermarkets, supermarkets, to choose by yourself, later to e-commerce, to Taobao Jingdong online viewing, the goods will be home. Until now, in new retail, unmanned vending machines can meet more fragmented and timely consumer demand, and make up for the shortcomings of traditional retail methods. Vending machines are now also the "new favorites" of the new retail era.
With the continuous development of technology, vending machines are constantly getting closer to people's lives. They can quench their thirst in the hot summer, warm them in the cold winter, and make instant noodles when they are hungry. It has changed the former mechanized mode, and has become humanized and intelligent.
Vending machines are no longer solely based on beverages and snacks. They are now diversified, with facial masks, cosmetics, fruits and vegetables, instant noodles, adult products, coffee ice cream, and so on. The sales range has been very wide. The advent of mobile payment has made payment methods more convenient. You can buy the goods you want with just a scan, meet people's consumer needs, and improve service efficiency.
With the continuous improvement of the global industry automation level and increased awareness of the cost of automation, the number of vending machines worldwide will exceed 20 million. From an overall point of view, the future market prospects of vending machines are very good.
The cloud background management system also solves the management problems of vending machines. It can provide real-time sales of goods and remind vending machine operators to promptly replenish goods in time. Anti-theft and dust-proof functions are also available. This cloud backend will also summarize the data, analyze the type and sales volume of each product, and maximize profits.
The investment of vending machines is small, the threshold is low, the layout is differentiated, and it can also be adapted to many products, intelligent, big data, and promising in the future.
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