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One-Stop Personalized Recommendation Solution

With just a few configurations, deploy a highly accurate recommendation system in one click and drive business growth

Low-Code, Full-Pipeline, High-Precision Personalized Recommendation

Powered by advanced big data and AI technologies, it helps enterprises build personalized recommendation systems quickly and without ML expertise, improving click-through and retention rates and driving business growth

Easy to Deploy and Use

Even without an AI background, you can rapidly deploy a personalized recommendation system with low-code tooling and get accurate, personalized results.

Advanced AI Technology

Leverages user interaction behavior, text descriptions, images, and visual information to deeply understand both products and users, helping merchants capture latent user needs more accurately.

One-Stop Personalized Solution

Supports a variety of scenarios such as You May Also Like, similar product recommendations, and watch-again. Full-pipeline coverage helps merchants fully unlock the value of their store.

Low-Code, Efficient, Rapid Deployment of Industry-Grade Recommendation Systems

BERT, Swing, Item CF, and other machine learning algorithms are tuned for different industries and massive datasets for high accuracy and relevance. Non-AI professionals can deploy quickly with low-code tooling and improve key operational metrics such as click-through and conversion rates.

Eliminate the complexity of deploying personalized recommendation systems and build high-precision recommendations quickly and easily

Easy to Operate

Simply provide user, product, and interaction data and define the data fields to get a complete recommendation system.

Flexible to Use

Online serving and offline training frameworks run on Kubernetes, making deployment, scaling, and disaster recovery easy.

Accurate Results

Built on the MetaSpore machine learning platform, the system supports both classical and large-scale deep learning models, and offers multiple recommendation strategy templates that customers can select and extend based on A/B test results.

E-commerce Recommendation

Import all your data quickly with just a few steps. The industry-grade recommendation system delivers personalized homepage experiences — You May Also Like, similar items, post-purchase recommendations, and more — helping users discover products faster and easier, creating a first-class shopping experience, driving purchase decisions, and growing your business.

A Rich Set of Machine Learning Algorithms for High-Precision Personalized Recommendations

Overseas E-commerce Personalization

Install it in your store with a single click — the whole process is simple and fast. Leveraging AI to analyze users, product information, storefronts, albums, product detail pages, and shopping carts, it generates personalized recommendations and displays similar products, helping users quickly find items they are interested in, unlocking traffic value, and improving click-through rate, conversion rate, DAU, and other key operational metrics while increasing user stickiness.

Scenarios in Practice

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