A seller that knows your catalog, and closes.
It understands what a shopper is vaguely asking for, reasons over your verified catalog, recommends the right products — and builds their cart. Every answer comes from your catalog. If it doesn't know, it says so.
Guides, recommends, closes. Deterministic — never invents.
Powered by the Semantic Commerce Engine + Brand Knowledge Engine — part of the Semantic Commerce Layer™
Support bots deflect tickets. Yours should be closing sales.
Most AI on a storefront is measured by how many questions it answered without a human. That's a cost metric. It says nothing about whether anyone bought.
Meanwhile the shopper who arrives at 11pm with a vague need — something for dry skin, a gift that won't be too big, will this fit my laptop — gets a search box that needs the exact words, or an assistant that confidently describes a product you don't sell. Both end the same way: the tab closes, and that sale is gone.
The gap isn't conversation. It's that nothing on the page could reason about the catalog well enough to recommend, and then actually finish the job.
Built for stores where the right recommendation is the sale.
- Catalogs where fit, variant, compatibility or skin/use type decides the purchase
- Stores losing after-hours sales to unanswered pre-purchase questions
- Merchants who want an agent that recommends and builds a cart, not one that deflects tickets
- Brands that can't risk invented products, sizes or policies
Works on any storefront that lets you paste a snippet — Shopify, WooCommerce, Wix, Squarespace or custom. Not a fit if: you need helpdesk automation for orders, refunds and billing — that's support software, and this isn't it. This one sells.
What we need from you.
- 1.Your store — the agent learns your real catalog: products, variants, attributes, availability.
- 2.One snippet on your site. That's the installation.
- 3.Your policies, if you want them referenced — quoted as you wrote them.
No conversation trees, no intents to train, no scripts to maintain.
How we handle your data
- The agent answers from your catalog and the sources you approve — nothing else
- Shopper conversations belong to you; we don't sell or share them
- Credentials are encrypted, never logged, and revocable at any time
- Remove the snippet and the agent is gone from your store immediately
What the Agentic Seller does.
Understands a vague need. “Something for dry skin that won't clog pores” is not a search query — it's a requirement, and the agent treats it like one.
Reasons over your verified catalog: attributes, variants, compatibility, availability — the facts that decide whether a product actually fits what was asked.
Recommends and explains why that product, in your terms — not a list of everything that matched a word.
Builds the cart. It can add up to three or four products for a complete purchase — the outfit, the routine, the set — and hand the shopper to checkout ready to buy.
Says “I don't know” and hands off, instead of improvising. Your policies are quoted as written.
Rule we don't break: Deterministic — never invents. No product, price, size or promise that isn't yours.
What you get.
- An agent on your storefront that knows your catalog and sells from it
- Recommendations that end in a built cart, not a suggestion
- Answers grounded in your data, with your policies quoted as written
- After-hours selling — the 11pm shopper gets a real answer
- A record of what shoppers actually ask: the questions your product pages don't answer
- One snippet to install, nothing to maintain
The same enriched catalog that powers your feeds powers the agent. One source of truth, one more place it sells.
Four steps.
- Step 1 — Install the snippet
One line on your site — about five minutes. No theme rebuild, no developer sprint.
- Step 2 — We read your store
Not just the catalog — products, variants, attributes and availability — but your brand too: shipping, returns, delivery timing and who you are. Everything the agent needs to answer a shopper, not only about the product but about buying from you.
- Step 3 — We structure & clarify
If your store can't be read in blocks, we remediate what we know needs fixing.
- Step 4 — It starts selling
Shoppers ask, it reasons over your catalog, recommends, and builds the cart. Under 500 products, your seller is ready in about an hour.
It stays current as your catalog changes — new products and updates are picked up without retraining anything.
A vague question. A built cart.
- Shopper
- “I need something for dry skin that won't clog pores.”
- Agent
- asks what matters (skin type, routine), recommends the product that actually fits, confirms the variant — and adds it to the cart, with the companion item that completes the routine.
What we claim: shoppers get an accurate recommendation grounded in your catalog, and the path from question to checkout is complete.
What we don't claim:we don't promise a conversion rate. What we show is that the answers are accurate and that the cart gets built.
How it knows.
The Agentic Seller reads your catalog with the Semantic Commerce Engine, and your policies and brand — returns, shipping, who you are — with the Brand Knowledge Engine. Two engines behind one answer: it recommends the right product and speaks for your store, grounded in both. See the Semantic Commerce Layer
Your catalog syncs weekly. Need more? Ask teams@nsolvia.com.
What merchants ask.
How do I know it won't invent a product, a size or a policy?
Because it only answers from your catalog and the sources you approve. Product facts come from your published catalog, your policies are quoted as you wrote them, and when the answer isn't in those sources the agent says so and hands off instead of filling the gap with a guess. That behavior is the product, not a setting you have to remember to turn on.
How is this different from the chatbots other apps offer?
Most are support tools measured by tickets deflected, running a general-purpose model with your store bolted on — which is exactly why they can describe products you don't sell. The Agentic Seller is built on your enriched catalog and measured by a different outcome: whether the shopper ended up with the right products in their cart.
Can it actually complete a sale, or does it just answer questions?
It builds the cart. The agent adds up to three products for a complete purchase — extensible to five to ten on demand (custom, already proven) — and hands the shopper to checkout with the right variants selected, which is the difference between deflecting a question and recovering a sale that would have walked.
What does installation involve?
One snippet on your site. There are no conversation trees to design, no intents to train and no scripts to maintain — the agent learns from your catalog, so setup is connecting your store and pasting one line.
Will it slow down my store?
No. The snippet loads on its own, after your page — your product images, your buttons and your add-to-cart don't wait for it. Nothing about the agent sits between a shopper and your storefront rendering, so the page a shopper sees is the page you already have.
What happens when a shopper asks something it can't answer?
It says so and hands off, instead of improvising. One honest “let me get you to someone” costs far less than a confident wrong answer about sizing, compatibility or returns — that second one costs you a refund and a review.
Does it stay current when my catalog changes?
Yes. New products, updated attributes and availability are picked up as your catalog changes, so you're not retraining anything or maintaining a second copy of your product data.
Who owns the conversations, and what happens to shopper data?
You do. Conversations belong to you and we don't sell or share them; credentials are encrypted, never logged, and revocable at any time. Remove the snippet and the agent is gone from your store immediately.
Can I try it before committing?
Yes — 300 free replies, roughly 30 full conversations, one per store. No card required. Plans are billed by agent reply rather than by conversation, so what you pay tracks what the agent actually did. The details are on the pricing page.
Which platforms does it work on?
Any storefront where you can paste a snippet — Shopify, WooCommerce, Wix, Squarespace or a custom build. The agent reads your catalog and renders on your site; it isn't an app locked to one platform, so switching platforms later doesn't mean losing it.
Put a seller on your storefront that actually knows what you sell.
Watch it take a vague question and turn it into a built cart — on a real catalog, not a slide.
Early customers join on founding terms: a limited number of stores, at a rate that stays locked for as long as they stay.
Where this sits
- Part ofSemantic Commerce Layer™NSOLVIA's framework for practising IEO on commerce data — the interpretability layer between catalogs and the systems that read them.
- Alongside it
- the Agentic Catalog Readiness Audit™ — The free instrument: reads a real product the way machine systems do and reports its interpretability baseline.
- the Optimizer for Shopify — Writes your verified product data into Shopify's native category attributes.
- AI-Ready Commerce Feeds™ — Enrich the catalog once and deliver it in the format each destination expects.
NSOLVIA Agentic Seller™sits inside NSOLVIA's interpretability stack — an open discipline, the framework that implements it, and the instruments that apply it.