Semantic Search for E-Commerce — Natural Language Discovery

I will implement semantic search for your e-commerce product catalogue — enabling customers to find products using natural language descriptions ("comfortable office chair for back pain"), colour and style descriptions, use-case queries, and synonym variations that your keyword search currently misses entirely. E-commerce semantic search directly impacts conversion — when a customer cannot find a product using natural language, they either refine their search multiple times (friction) or leave without purchasing (lost revenue); semantic search that understands product descriptions, attributes, and customer intent dramatically reduces both outcomes.

The implementation covers product catalogue embedding generation with attribute augmentation, semantic search API integration with your e-commerce platform, result ranking combining semantic similarity with business rules (margin, stock, rating), a search interface update, and A/B testing configuration for measuring conversion impact.