How to treat the behavior of "Meituan Big Data Killing"?

"Meituan Big Data Killing" refers to Meituan's use of big data algorithms to discriminate the price of users, that is, charging different prices for different users. This phenomenon was personally tested by Xinhua News Agency on 20 18, and the price of the same account on different platforms was obviously different. On June 5438+ 10 this year, Zhejiang Consumer Protection Committee released the analysis of complaints accepted in the third quarter of 2020. It was found that it was difficult to unsubscribe from online booking platforms such as Meituan and Feizhu, and big data was "cooked". The actual situation did not match the publicity, and the promised concessions were not fulfilled.

For the behavior of "Meituan Big Data Killing", we can analyze it from the following aspects:

First of all, from the consumer's point of view, this kind of behavior is undoubtedly unfair. Consumers should enjoy fair consumption rights when choosing services, rather than being unreasonably elevated because of the use of a certain service. This behavior violates consumers' right to know and choose.

Secondly, from the perspective of enterprises, although this behavior may increase profits in the short term, it may damage the reputation of enterprises and the trust of consumers in the long run. If enterprises often take such unfair measures to improve profits, then consumers will choose other service providers, which will lead to the decline of market share of enterprises.

Finally, from a legal point of view, this behavior may violate relevant laws and regulations. For example, China's Anti-Unfair Competition Law stipulates that enterprises shall not discriminate against consumers in price through false or misleading means. If the behavior of Meituan is identified as price discrimination, it may face legal sanctions.

In general, we should not accept the behavior of "killing the big data of the US Mission". Enterprises should respect the rights and interests of consumers and treat all consumers fairly, instead of using big data algorithms to discriminate against consumers.