One-stop personalized recommendation solution
Low code, full link, high precision personalized recommendation system
Based on advanced big data and artificial intelligence technology, it can help enterprises overcome code problems, build personalized recommendation systems quickly and painlessly without ML expertise, improve click-through rate and retention rates, and boost business growth
Easily deploy and use
Based on advanced AI technology
One-stop personalized solution
Low code, efficient, fast deployment of industrial recommendation system
Bert, Spring, Item CF, and other machine learning algorithms are used to optimize based on different industries and massive data, with high accuracy and pertinency. Non-ai professionals can also rapidly deploy low code and improve key operational indicators such as click and conversion rates.
Break through the complex pain points in a personalized recommendation system's deployment process and build a high-precision recommendation system quickly and conveniently.
Convenient operation
Using flexible
Results the accurate
E-commerce recommendation
You can import all data quickly and efficiently with a few operations. The industry-grade recommendation system brings users different homepage experiences -- guess what you like, look and look, post-purchase link, and other scenarios, enabling users to discover products faster and more easily, creating first-class browsing and consumption experience, promoting purchase decisions, and achieving business growth.
A variety of machine learning algorithms, all-round help high precision personalized recommendation
Overseas E-commerce Personalized Recommendation
Just click, and you can install it in the store. The whole process is simple and fast. Dimensional analysis based on AI technology users, commodity information, the shop front page, album, business details page, shopping cart pages recommendation of personalized recommendation, similar products such as display, enabling users to browse more interested in goods quickly, the value of flow, improve click-through rates, conversion rates, DAU key operational indicators, such as increase user stickiness.
Join the community and share data intelligence