An AI product finder that helps shoppers pick the right thing, by voice or chat
Put an AI agent on your store that's trained on your own products, specs, and FAQs, so it recommends the right item and answers buying questions around the clock by voice or chat. Shoppers stop guessing and bouncing, and more of them check out with something that actually fits.
The problem
Shoppers can't find the right product
Your catalog has the thing they want, but your search box and filters don't speak their language. They type a vague phrase, get 200 results or none, and give up. A person who was ready to buy leaves because they couldn't tell which option was right for them.
Nobody's there to answer the buying question
"Will this fit a small kitchen, is it good for beginners, what's the difference between these two" are the questions that decide a sale. When there's no one to ask, the shopper doesn't fill out a contact form for a maybe. They close the tab and check a competitor whose product page felt clearer.
Too many choices stall the sale
When you sell forty versions of the same thing, choice turns into paralysis. A shopper staring at a wall of similar products doesn't feel confident, so they put it off, tell themselves they'll decide later, and never come back. The abandoned cart is really an abandoned decision.
Wrong fit means returns and refunds
When someone buys the wrong size, model, or version because nothing guided them, it comes back. Returns eat your margin, your time, and the customer's trust. The guidance that would have prevented it had to happen before checkout, and there was nobody there to give it.
How Venbit solves it
Recommendations grounded in your real catalog
Venbit trains the agent on your product pages, specs, descriptions, and FAQs, then uses retrieval so it suggests items you actually sell rather than guessing. Ask for "a quiet blender under a hundred dollars" and it points to the real products that match, with the reasons why. When nothing fits, it says so instead of pushing the wrong thing.
A product finder that asks the right questions
Instead of making shoppers wrestle with filters, the agent has a quick back-and-forth: what are you using it for, what's your budget, any must-haves. Then it narrows your catalog down to a short, confident shortlist. People who didn't know your exact model names still land on the right product.
Compare two products side by side
When a shopper's torn between options, the agent lays out the real differences in plain language, price, size, features, what each one's best for, all pulled from your own product data. They get the clarity that ends the back-and-forth, so the decision happens on your site instead of on a tab they opened to compare elsewhere.
Voice and chat in one agent, always on
Shoppers can type or just talk, and they get help in seconds at 2pm or 2am. Someone browsing on their phone can ask "which of these works for camping" out loud instead of thumbing through specs. The same agent covers both channels with the same knowledge of your catalog, and it never clocks out.
Launch in four steps
Connect your catalog
Point Venbit at your store, drop in product pages, spec sheets, and PDFs, or paste in your FAQs. The agent reads all of it and learns what you sell, how the options differ, and who each product is for. Most stores have enough loaded in a few minutes.
Set how it recommends
Give it a name and a voice, decide how it sounds, then tell it how to guide a shopper, what to ask, when to suggest an upsell or a bundle, and when to hand off to a person. It behaves the way you'd brief a good salesperson on the floor.
Install on your store
Paste one embed snippet into your site, or use the one-click WordPress plugin if that's your stack. No developer ticket and no redesign. The widget shows up on your product and category pages and starts helping shoppers right away.
Tighten it up as you go
Read the real conversations and see what shoppers actually ask for and where the agent stumbled. Add a product detail or a quick correction and its recommendations get sharper. A few minutes a week keeps it picking the right items.
What you get
- ✓Shoppers get matched to the right product instead of bouncing
- ✓A guided finder that beats your search box and filters
- ✓Side-by-side comparisons that end the indecision on your site
- ✓Fewer wrong-fit purchases, so fewer returns and refunds
- ✓Buying questions answered day or night by voice or chat
- ✓Upsells and bundles suggested the way a good salesperson would
- ✓Free plan to start, and you can be live in minutes
Frequently asked questions
How does it know which products to recommend?+
You train it on your own catalog: product pages, specs, descriptions, and PDFs. Under the hood it uses retrieval, so it pulls the matching items from your real inventory and recommends from those instead of from generic internet knowledge. When a shopper describes what they need, it suggests products you actually sell, not made-up ones.
Can it ask shoppers questions to narrow down the options?+
Yes, that's what makes it a finder and not just search. It has a short back-and-forth about use, budget, and must-haves, then it cuts your catalog down to a confident shortlist. Shoppers who don't know your exact model names still end up on the right product, which is usually where filters lose people.
Will it recommend the wrong thing or make products up?+
It's built to answer from your catalog rather than improvise. When nothing you sell is a good fit, it's designed to say so and offer a handoff instead of pushing the wrong item. You can read past conversations and patch gaps, so the few weak spots get fixed fast and the recommendations stay accurate.
Does it really work by voice?+
It does. Venbit agents support real-time voice in the website widget, not just chat, so a shopper can speak "which one's best for a beginner" and hear a natural spoken answer back. Anyone who'd rather type can still type. Same agent, same catalog knowledge, either way, which most product-recommendation tools can't do.
Can it suggest add-ons or bundles?+
Yes. You tell it when an upsell, accessory, or bundle makes sense, and it offers them naturally during the conversation, the way a good salesperson would. Because the suggestion is grounded in your real catalog and the shopper's actual need, it lands as helpful instead of pushy, and it can lift the size of the order.
How long does setup take, and is there a free plan?+
Most stores are live the same afternoon they start. You connect your catalog, set how it recommends, and paste the snippet or install the WordPress plugin, none of which needs a developer. You can start for free with no card, train it, and watch real shopping conversations before you pay for anything.
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