For these old customers, the price of goods may increase accordingly, while for new customers who reduce their purchases, they will deliberately lower the price to attract new customers to buy. This kind of behavior can be said to be criticized by many consumers. I have to say that this way is actually to divide consumers, and the real market operators should set an indefinite line for consumers and sell to all consumers in the course of business. Through data analysis, consumers are classified at different levels, and consumers who often shop are marked with higher prices, while potential new shoppers who reduce their shopping are marked with lower prices, which is undoubtedly incorrect for attracting shopping.
Now many softwares are pointed out to have such problems. In fact, the main reason is that these enterprises lack relevant supervision. If these enterprises can be supervised, or they will be punished after such a situation occurs, I believe many enterprises may not choose this way, but this is because the management in this area is not very strong now, which leads many enterprises to use data analysis to divide consumers at will.
Some consumers even pointed out that many softwares price goods by judging the model of consumers' mobile phones. If the price of the mobile phone used by the buyer is relatively high, the marked price of this product will be relatively high, but if it is judged that the price of the mobile phone model used by this consumer is relatively low, the price of the product purchased by this consumer will be correspondingly reduced. This is a typical way to look at people and order food. This unreasonable classification of consumers through data analysis should be punished and confronted by consumers as a whole.