To collect and store the transaction log of the shopping platform system, the analysis of customer purchasing behavior and popular commodity types is realized, and product promotion focusing on customer needs is achieved.

On the user: User click behavior, purchase behavior, return behavior analysis, user portraits, etc.
On the goods: the ranking of popular purchases of platform products, the ranking of platform products clicks, and the statistics of the types of products purchased in the region.
Transaction: user transaction methods and behavior statistics.
Logistics: statistical analysis of the logistics of the goods purchased by users.
Data collection: Collecting the log information in the server, pushing it into the message queue topic, and consuming the data to the distributed storage or stream processing system through the consumer API.
Data analysis: offline analysis, read distributed storage data through the client, perform data analysis, and put the results into distributed storage or relational databases.
Real-time analysis, through real-time data processing and data analysis, the results are stored in the cache.
Page display: The front-end page reads the database to display the final result.