Product · Discovery

They describe it. Your catalog finds it.

"Warm gear for winter runs, under €150" is not a search query - it is a need. AgenticCart reads the intent behind the words and surfaces the right products from your live catalog, in 40+ languages.

Live conversation
Understanding intent
Warm gear for winter runs, under €150?
Three warm picks under €150 - all in stock:
TrailShield Jacket
TrailShield Jacket
€129
Air Zoom Runner
Air Zoom Runner
€119
Ultraboost Light
Ultraboost Light
€99
What it is

Product discovery in AgenticCart is semantic, not keyword-based: the agent interprets what the shopper means - use case, constraints, budget, attributes - and matches it against your synced catalog, aware of live prices and stock. No filter trees, no "no results" dead ends.

Watch it read

One sentence. Four signals.

The shopper writes

“I need warm gear for winter runs, under €150 - ideally waterproof.”

The agent understands
Intent Product discovery Use case Winter running Attributes Warm · Waterproof Budget ≤ €150
Matched against your live catalog - price- and stock-aware - and answered with 3 products, not 40.
Same question, any language - same catalog
DE

Warme Laufausrüstung für den Winter unter 150 €?

Same 3 matches, answered in German
ES

¿Ropa de running cálida para el invierno por menos de 150 €?

Same 3 matches, answered in Spanish
KO

150유로 이하 겨울 러닝복 추천해 주세요

Same 3 matches, answered in Korean
The details

What makes it work.

Intent, not keywords

The agent parses use case, budget, attributes and context from natural language - "a gift for a coffee lover under €50" just works.

Price- & stock-aware

Recommendations respect the shopper's budget and your live availability - it never quotes yesterday's price or offers a sold-out item.

Follow-ups welcome

Shoppers refine like they would with a salesperson: "warmer", "cheaper", "which one for rain?" - the conversation narrows to the right product.

40+ languages, one catalog

A shopper can ask in German, Korean or Spanish - the agent understands, answers in their language, and sells from the same catalog.

Product discovery questions

How is this better than my store search?+

Store search matches keywords; discovery matches meaning. Shoppers who cannot phrase the exact product name still get the right recommendation instead of a dead end.

Does it know my current stock and prices?+

Yes - the catalog syncs automatically from Shopify or WooCommerce, so answers reflect live price and availability.

What happens with very large catalogs?+

Semantic search is built for scale: plans range from 1,000 to 30,000 products in your AI catalog, kept fast and searchable.

More of the product

See it on your own catalog.

Connect Shopify or WooCommerce and watch your storefront answer its first shopper - free for 7 days.

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