Behind this low-key mid-year carnival, there is a mysterious brain, which is the legendary mysterious headquarters-JD Vision. JD Vision is a visual command center, where we can monitor all links in the entire transaction chain such as orders, logistics, and warehousing across the country in real time. Activities to lay a solid backing. Some time ago, we invited Liu Hui, "Chief Research Officer of JD Big Data Research Institute" , who will take us into to reveal the secret weapon behind 's 100 billion revenue - Big Data. In this exclusive interview, he will interpret for us some interesting things discovered by JD's big data, the application architecture of JD's big data, and how uses big data to empower traditional retail.
What are you going to buy for your phone number list family on Father's Day? Looking at e-commerce big data, how to "guess you like it"? What are you going to buy for your family on Father's Day? Looking at e-commerce big data, how to "guess you like it"? First, share a few sets of interesting e-commerce consumption data: 1. The consumption data of Lantern Festival tracks and analyzes the consumption data of the Lantern Festival every year. Lantern Festival and Tangyuan are two different commodities. Generally speaking, "rolling" Yuanxiao in the north and "packing" Tangyuan in the south are traditional customs in different regions of my country. However, consumption data in 2019 shows that consumers in the north prefer to buy glutinous rice balls on the fifteenth day of the first lunar month, while consumers in the south begin to like to buy yuanxiao .
In addition, during the Spring Festival, many users in the northwest will buy Boston lobster and Argentine red shrimp in large quantities, and some users in Hainan will buy sauerkraut in the northeast. These regional consumption data vividly and interestingly show us the consumption picture in China. What are you going to buy for your family on Father's Day? Looking at e-commerce big data, how to "guess you like it"? 2. The consumption data of the Spring Festival This year, made a consumption analysis for the Spring Festival. Liu Hui said that there are two typical consumption behaviors during the Spring Festival: One is for off- site consumption . Young people who work in Beijing, Shanghai, Guangzhou and Shenzhen are likely to mail the New Year's goods back through e-commerce before returning to their hometown.