What you provide
A catalog with names, codes, categories, variants, images, prices and stock. Commercial facts remain those supplied by the store.
Product discovery
Vector Search for Ecommerce Product Discovery
Use vector embeddings to connect shopper intent with relevant products, attributes, descriptions and images.
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1Prepare the source
2Configure the behavior
3Validate with real cases
Product discovery
What this means in practice
A semantically close result is not necessarily the right product. Check vector matches alongside names, identifiers and filters; an alternative must respect the conditions requested by the shopper.
What SmartyFind does
Hybrid search combines lexical matching with vector representations. Meaning-based matching complements product names and codes.
What you verify
Semantic similarity does not replace explicit requirements. Check category, color, size, budget and availability separately.
Continue with the right resource
Open the relevant guide instead of starting a conversation from zero.
Intent-aware search
Semantic Search for Ecommerce
Understand shopper intent, synonyms, context and natural language with semantic ecommerce search powered by AI.
Open →Developer APISearch and catalog APIs
Use scoped SmartyFind APIs for product search, suggestions, catalog operations, analytics and integration workflows.
Open →Relevance controlEcommerce Search Quality Testing
Test search queries, compare ranking changes and prevent relevance regressions before publishing updates.
Open →Your case is not covered by the guides?Contact us only for a new integration, a special requirement or a commercial opportunity.
Talk to sales →SmartyFind
Make every product easier to find
Connect your catalog and see how intelligent search changes product discovery.