At present, for all walks of life, the new retail has the following modes of operation:

The first mode: the internal transformation of offline physical stores

This is the most talked about new retail mode at present. Here is a typical case: in the retail all over the world, the cross-border mode is one of the current trends, which existed long before Ma Yun put forward the concept of new retail. Yonghui Supermarket launched "Super Species" at the beginning of this year. In fact, the main meaning is to add catering elements to Shangchao. When you are tired of shopping in the supermarket, you can eat directly and then go shopping after eating.

the second type: online diversion and offline consumption

For example, Xiaomi House is one of the models of online diversion and offline multi-category management. To put it simply, Xiaomi Home introduces online traffic and natural traffic of large supermarkets into offline Xiaomi Home stores through online influence, and then attracts consumers with multi-category Xiaomi series products in the stores, which can enhance the user experience of consumers and increase sales. In 2116, the average sales of 51 millet houses was about 71 million, the floor efficiency reached 251 thousand, and the expense rate was about 8%. Because the cost is relatively fixed, after the sales volume reaches a certain level, the offline cost can already be tied with the online one.

the third type: online and offline integration

the ultimate goal of new retail is to integrate online and offline, and if this goal is to be finally realized, it needs the support of big data.

as we know, Amazon is one of the earliest online push companies. At the earliest, Amazon only sold books online. Later, he found that users who bought several books of the same category in place A would also have such a situation in place B. Therefore, there are the same groups in places A and B, and they have similar hobbies.

The keen Amazon began to analyze the data, and divided the crowd according to the data. For example, if you browse two best-selling sci-fi works, and finally make a purchase, then according to your purchase and browsing behavior, combined with big data analysis, he will see which books your peers will buy besides the books you bought, and then make a ranking of these books for you to recommend. Through this recommendation, Amazon's book sales have increased by more than 31%, which is the power of big data and the inevitable combination of new retail in the future.