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Feature

Product search that understands the sentence, not the keywords.

Site search fails when a shopper describes what they want instead of naming it. "Something waterproof under £100" has no keyword match, so a normal search returns nothing and the shopper leaves.

What it does

Understands descriptions, not just nouns

Queries are embedded and matched on meaning, so "a warm coat for a toddler" finds the right products even when none of those words appear in a title.

Hybrid retrieval, not just vectors

Every query runs vector similarity, full-text search and fuzzy matching together, then merges the rankings. Vectors alone miss exact SKUs; keywords alone miss descriptions. Doing both is what makes it reliable.

Filters that come from the sentence

"Under £100", "in stock", "in blue" are read out of the question and applied as real constraints, rather than hoping the ranking happens to respect them.

Never sells what you cannot ship

Stock levels sync with the catalogue and out-of-stock items are excluded from results, so the assistant does not recommend something the shopper then cannot buy.

Learns your vocabulary

The words your shoppers use for your products are not always the words in your catalogue. Poor-outcome queries feed a nightly job that proposes synonyms specific to your store.

Answers with product cards

Results come back as cards with image, price and an add-to-cart button, inside the conversation, so the shopper never has to go back to a results page.

Questions about AI product search

How is this different from my existing site search?
Site search matches keywords against titles and attributes. This matches meaning, so a shopper can describe what they want in their own words and still get the right products. It also applies price and stock constraints read from the sentence itself.
Does it replace Elasticsearch or my search extension?
No. It runs in the chat assistant alongside whatever powers your category and search pages. You do not have to change your existing search stack to use it.
Can it find a specific SKU or product code?
Yes. Exact and near-exact matching runs alongside the semantic search, so a shopper pasting a product code gets that product rather than six things that look like it.
Which platforms is AI product search available on?
Search works the same on Magento 2 and Adobe Commerce, Magento 1 and OpenMage LTS, and WooCommerce. Your catalogue syncs from whichever module you install, and the retrieval runs on our side, so results do not depend on your platform's own search engine.

Try it on your own catalogue.

Ask it the questions your shoppers actually ask and see what comes back, on your real products, in about two minutes.