1) Accurately analyze users
In-depth mining of user purchase data, analysis of user purchasing ability and behavior characteristics. Based on users’ buying habits and hobbies, intelligently recommend products, and provide better experience and services.
2) Fine management of goods
In-depth analysis of category prices, price diagnosis covering the product life cycle, and dynamic price solutions.
Provide a multi-dimensional perspective of product selection based on social public opinion, benchmarking with friends, channels, and slow sales to meet users’ one-stop shopping needs.
3) Explore market trends
Monitor marketing activities and detect the coverage and sales of all kinds of products on JD.com at the same price level.
Explore the development trend of the industry market, enrich the products on the site to ensure a continuous high-quality shopping experience.
4) Convenient business tracking
Provide management staff with series of support such as summary, segmentation, comparison, trend, traceability, etc.
Analyze related business indicators such as its transactions, commodities, channels, and promotions, and collaborate with merchants and suppliers to provide high-quality services.
How Big Data apply to E-commerce?
After entering the Internet era, massive user behavior data has provided companies with the possibility of tracing and analysis to change and reshape their businesses and services. Effective use of these data for analysis and evaluation can enable companies to achieve refined operations and precision marketing. Service, and the first task to do this is to build user portraits.
Accurate advertising, marketing recommendation
Use websites/Apps to access user portrait tags, place targeted advertisements, and push differentiated App recommendations.
Use user location tags to place outdoor advertisements in areas where the target user density is high, eliminating the blindness of advertising.
According to the real-time traffic, product conditions, combined with user portraits, product portraits and recommendation prediction engine to realize the intelligent store function, homepage, single product page, channel page and event page and other personalized display
Bring online big data offline combined with powerful artificial intelligence technology to achieve precision marketing, play the value of data and intelligence to enhance profitability, and enhance customer experience.
Determine the user life cycle intelligently
Use user portraits to determine the value stage of users, formulate targeted marketing policies and promotional measures; determine the main types of users, accurately recognize the development stage of the company, and guide the formulation of the company’s overall operating strategy and strategic planning.
Smart supply chain
The combination of big data and AI intelligence drives makes the supply chain smart. By understanding consumers, the distance between consumers and suppliers is shortened, and a new retail business model that is win-win for all parties is realized.