AI Product Recommendations
AI Understands Preferences, Recommends Products Effectively
The "Product Recommendation Solution" uses user behavior history, purchase history, product attributes, and time-series data such as seasonal price fluctuations to suggest products to each user. By receiving appropriate recommendations from the vast array of products available on an e-commerce site, users can find products more easily and discover new items. This not only enhances user satisfaction but also leads to increased sales through discovering new demand, upselling, and cross-selling. Additionally, by efficiently matching buyers and sellers, the solution improves buyer convenience and reduces the human costs and efforts for sellers.
ソリューションの特徴
Main Usage Scenarios
Enhancing E-Commerce Sales and Customer Satisfaction
Matching Customers with Properties
ソリューションの特徴
Solution Features
Real-Time Recommendations with Updated Data
Machine Learning Recommendations from Unstructured Data