Semantic Product Search for E-Commerce Marketplaces

Summary

Used vector embeddings and similarity search to match user intent with relevant products beyond keyword logic. Enhanced handling of complex, descriptive queries in online marketplaces. Improved search relevance, customer experience, and conversion outcomes. Combined semantic and traditional search approaches for stronger overall performance.

Use Cases by Industry

Use Cases by Function