Add a conversational AI chat widget to your storefront. Shoppers describe what they need in plain English — SellerZoom searches your entire catalog via semantic AI and recommends the perfect products in seconds.
Traditional search fails when shoppers don't know the exact product name. AI Product Finder understands intent, context, and preferences — then responds like a knowledgeable sales associate.
Shoppers describe what they want in plain English — "a gift for my mom who loves gardening" — and the AI understands context, intent, and preferences to find the right products.
Powered by BGE-large embeddings and Qdrant vector database. Every product in your catalog is semantically indexed — the AI finds matches based on meaning, not just keywords.
Not just a product list — the AI explains why each product matches, suggests alternatives, and guides shoppers through their decision with human-like conversation.
Can't find it in your catalog? AI Product Finder optionally searches the SellerZoom network to recommend complementary products from partner stores — earning you referral commissions.
Track total sessions, messages per session, product clicks, conversion rates, and popular queries. See what your shoppers are actually looking for and which products convert best.
Add a single script tag to your storefront. The chat widget auto-loads, matches your store's theme, and starts converting visitors into buyers — no coding required.
A visitor types a natural language question in the chat widget on your storefront. Something like "I need running shoes for flat feet under $120" or "gift ideas for a 10-year-old who likes science."
The message is embedded using the same AI model as your products. Vector similarity search finds the most semantically relevant products from your entire catalog in under 200ms.
The AI generates a conversational response explaining why each product matches, includes pricing and direct links, and invites the shopper to refine their search. Every interaction is tracked for analytics.
AI Product Finder adapts its product recommendations to your specific catalog and industry.
Site search on most ecommerce stores has a fundamental problem: it only works when the shopper already knows what they want. Traditional keyword search fails for discovery-oriented shoppers — the ones browsing for gifts, exploring new categories, or looking for solutions to problems they can't name.
SellerZoom's AI Product Finder solves this by embedding every product in your catalog into a high-dimensional vector space using state-of-the-art language models. When a shopper types a natural language query, the system doesn't match keywords — it understands meaning. "Something cozy for winter" matches scarves, blankets, and heated socks even though none of those products contain the word "cozy" in their titles.
Keyword search matches exact terms. Semantic search understands concepts. When a shopper types "lightweight laptop for college students," semantic search surfaces ultrabooks, Chromebooks, and tablets — even if the product descriptions never mention "college." The AI understands the underlying intent: portable, affordable, good for schoolwork.
Every product recommendation includes direct add-to-cart links, real pricing, and availability. The AI explains why each product matches the shopper's needs, reducing decision fatigue and increasing conversion rates. Stores using conversational commerce see significantly higher engagement and average order values compared to traditional search.
Traditional ecommerce search is keyword-based: it matches the exact words a shopper types against product titles and descriptions. If a shopper searches "waterproof hiking boots" but your product is titled "trail running shoe — water resistant," keyword search misses the match. Semantic search understands that "waterproof hiking boots" and "water resistant trail running shoe" are conceptually similar, and returns the result regardless of exact wording.
This matters because shoppers don't search the way merchants write product titles. They use natural language, colloquial terms, and intent-based queries. A semantic product finder bridges the gap between how shoppers think and how catalogs are organized — which is why conversational discovery consistently outperforms traditional search in both engagement and conversion metrics.
Add AI-powered conversational product discovery to your store in under 5 minutes. No coding required.
Add AI Product Finder — Free