Intent-aware search

Semantic Search for Ecommerce

Understand shopper intent, synonyms, context and natural language with semantic ecommerce search powered by AI.

Start free Explore the guide

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1Prepare the source

2Configure the behavior

3Validate with real cases

Intent-aware search

What this means in practice

Compare a product-name query with a request combining product type, color and intended use. Synonyms and intent help matching, while price, stock and attributes must still come from the catalog.

What you provide

A catalog with names, codes, categories, variants, images, prices and stock. Commercial facts remain those supplied by the store.

What SmartyFind does

Search combines query terms, synonyms, typo tolerance and semantic signals. Filters use attributes available in the catalog.

What you verify

Test names, codes, typing mistakes and natural requests. Check relevance, available variants and measured response time on your own catalog.

Continue with the right resource

Open the relevant guide instead of starting a conversation from zero.

Product discovery

Vector Search for Ecommerce Product Discovery

Use vector embeddings to connect shopper intent with relevant products, attributes, descriptions and images.

Open →Five-language search

Multilingual Ecommerce Search

Help customers find relevant products across English, Romanian, Italian, German and French catalogs.

Open →Documentation

SmartyFind documentation

Implementation guides for catalog feeds, search APIs, widgets, events, integrations and webhooks.

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Your case is not covered by the guides?Contact us only for a new integration, a special requirement or a commercial opportunity.

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SmartyFind

Make every product easier to find

Connect your catalog and see how intelligent search changes product discovery.