Search is evolving from keyword matching to understanding intent. Semantic search, natural language queries, and visual search are reshaping product discovery.
Semantic Search
Instead of matching "blue dress," semantic search understands "something for a summer wedding." Uses embeddings to find products by meaning, not just exact terms. Improves recall and relevance.
Natural Language Queries
Customers ask "what's the best running shoe for flat feet under £100?"—not "running shoes flat feet." LLMs and retrieval-augmented generation (RAG) can parse these queries and return relevant results.
Visual Search
Upload an image to find similar products. Uses vision models and embedding spaces. Useful for fashion, home, and lifestyle categories. Integrate with your product imagery.
AI-native search is part of our eCommerce expertise. Contact us for a discovery.