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Big data for office accelerometer vending machine has what effect?

Through the data acquisition of new retail to be able to know the distribution of community residents, consumption habits. More information and data to analyze and judge the consumers are single or have a family, how many old people live in nearby, how many students, residents like the vegetables. This is the bad parts of the data, when the new retail data through online and offline, even a consumer's time to rest, shopping desire can be collected. And in the community online lag in disadvantage, convenience stores, supermarkets have more far, too lazy to go to buy it. New retail has a big advantage, is the ability to tell the story of online, online product can get offline store area limit the problem, you can use the big data mining in-depth consumer scenarios. And now the new retail play no one community shops and vending machines, compared with traditional stores much lower in cost, can try to run tens of thousands of dollars, this is a very low start-up costs. The vending machine has the stable income, the expansion of point low cost advantage, it can promote large-scale play continue, can also help retail enterprise for rapid expansion. No one cashier so now a lot of retail shops are doing this model, for large supermarket, the cashier may only be a tiny part of the human cost but for small scale, low profit, community shops, the cost is quite a lot about it.

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Although the domestic epidemic has gradually stabilized and our lives are gradually getting on the right track, the epidemic is not over yet, and many areas still have a lot of prevention and control measures.
Since Ma Yun proposed new retail, the term new retail has gradually been mentioned.
The term new retail is gradually being mentioned, and the capital market is also holding high the banner of new retail, and around the slogan of changing traditional retail, new retail businesses have begun to be laid out.
Big data has now begun to gradually change our lives.
Big data brings us three subversive conceptual changes: all data, not random sampling; general direction, not precise guidance; correlation, not causation.
It was McKinsey who first proposed the arrival of the era of big data:“Data has penetrated into every industry and business function area today and has become an important factor of production.
The artistic conception of data in the past few years has gradually penetrated into our lives, and in the future data will have a great impact on all aspects of our lives.
Today, I would like to share with you the trend of big data.
first proposed“The era of big data is coming from McKinsey, a world-renowned consulting firm.
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