Use Case
Improve product discovery
with conversational AI
When shoppers can describe what they want in plain language — and get accurate product recommendations — they find products faster, explore more of your catalog, and are more likely to buy.
The scenario
“Customers leave because they can’t find the right product.”
The problem
You have hundreds of products, but your search bar only matches exact keywords. A shopper looking for “something for my dad who golfs” gets zero results. Another shopper searching for “waterproof earbuds for running” gets a general earbuds list with no way to filter for what they actually need.
The result: higher bounce rates, lower conversion, and customers who leave without ever seeing the product that would have been perfect for them.
How Cart Agent helps
The AI Shopping Assistant replaces static search with a conversational experience. Shoppers describe what they want in natural language and receive product recommendations with images, prices, and one-click add-to-cart.
The assistant understands intent, handles follow-up questions (“what about the battery life?”), compares products, and recommends alternatives — turning a search query into a guided shopping experience.
Natural language search
Shoppers ask questions the way they’d ask a salesperson — not the way they’d type a keyword query.
Follow-up questions
The assistant remembers context. “What about a cheaper option?” works because it knows what you just discussed.
Add to cart from chat
Shoppers add recommended products directly from the conversation — no separate product page visit required.
Who this is for: WooCommerce store owners with growing catalogs (roughly 20 — 5,000 SKUs) who see high bounce rates on search and category pages.