Suning Front-End Makes A Shopping Experience

"In the whole retail industry, the core of the two research objects, one is the consumer, the two is the supplier's goods. Correspondingly, the study of big data for consumers is to establish user's portrait, that is, the user's tag library, and based on the study of commodities, we must establish a knowledge base of commodities. Suning IT headquarters official told reporters, "a sufficiently rich, complete, accurate and personalized user tag library is a very valuable resource for enterprises." The official explains that this tag library usually involves user layering, user portrait, and user purchase prediction, such as CTR prediction and so on.

"What the commodity knowledge base is to answer is where the target customer of this commodity is, what kind of pricing is more appropriate, what is the relationship between this commodity and other commodities in our commodity bank, is it an alternative relationship or a commercial complementary relationship?" The foregoing Officer explained that the substitution relationship between commodities is Suning's ability to use similar products to better satisfy consumer demand and enhance shopping experience.

This is (recommended) technology. For example, in web design, there will be "watching, watching", "watching and buying" and "buying and buying" options. Take "look at it for example" as an example, it is mainly based on similarity (recommendation). Generally speaking, the process of browsing goods is a process of buying decisions. demand But he is not sure what he wants to buy, so he needs to put more similar products in front of him to assist him in making better purchase decisions.

Even knowing the "where can buy" scenario has been used to describe Baidu, Wanda, Tencent and other imaginary space in the real estate e-commerce project cooperation, but it has been delayed due to tardy landing. Consumer It's a dream. According to the head of Suning IT headquarters, Su is trying to make use of image recognition technology to make the scene "where can buy" become a reality.

Suning is currently developing speech recognition and image recognition. data Mining technology. " The above person in charge told reporters that voice technology can collect and analyze a large number of voice scattered online and offline. For example, in the field store, the traditional way is to understand the needs of consumers expressed by the waiter, while the voice mining technology analyzes the user's purchase needs from the information described by the consumer from the computer.

"Although the technology needs to be further developed, its advantage is that it can categorize scattered or abandoned information." The person in charge told reporters, "image recognition technology can help users better find the products they want, for example, some people in the street see a girl wearing a beautiful dress, she can quickly know where to buy in the nearest place. In fact, the scene of "where to buy" is very common in real life. In the past, it could be limited by technology and could not be realized. From the perspective of future retail development, we need to make breakthroughs in technology if we want to provide consumers with this shopping experience.

At the same time, in terms of data mining, many technologies are often used in conjunction. For example, image recognition technology can tell you where to buy a product, and at the same time, users may also pay attention to similar products. At this time, user portrait, user tag library and commodity knowledge base can play a very good role.