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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.

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ソリューションの特徴

Main Usage Scenarios

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Enhancing E-Commerce Sales and Customer Satisfaction

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Matching Customers with Properties

ソリューションの特徴

Solution Features

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Real-Time Recommendations with Updated Data

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Machine Learning Recommendations from Unstructured Data

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