ZenAI answers your shoppers from your live Shopify catalogue: real stock, real sizes, real prices, your own policies. It never invents a product you don't sell. And when the answer is no, it says no.
They have one question. Does it come in a 10 wide, is it actually in stock, will it fit through my door. And nobody is there to answer it. So they leave, and you never find out what they wanted. That isn't a traffic problem. It's an unanswered-question problem.
Browsing doesn't stop when your team clocks off. ZenAI answers on nights, Sundays and bank holidays, in the shopper's own language, without waking anyone up.
Shoppers don't know their size across brands, and a guess is a return. ZenAI translates between official brand charts so they order once.
Order-status queries were answered in chat instead of landing in your inbox. Your team gets its morning back.
Most store chatbots are a language model with your logo on it. They will happily invent a product, a size, a price or a returns policy, and every one of those is a refund, a complaint, or a customer you never see again.
ZenAI can only speak from what it can actually read: your live Shopify catalogue, your real stock levels, your published policies. If the thing doesn't exist, it tells the shopper, and offers the nearest thing that does.
One assistant, tuned per store. No scripts to write and no decision trees to maintain. It reads your catalogue and gets on with it.
Natural questions in, real products out. "Something for a knee replacement I can shower with." "Frost free, 70/30, built in."
ASICS 9.5 to New Balance 10. Built on official brand charts and gender-aware, so shoppers order once.
A few taps and a big catalogue becomes three real options. Fit finder in footwear, supplement and shade finders in health and beauty, appliance finder in electrical.
In stock, out of stock, last pair, wrong width. It checks before it claims, and it never oversells your shelf.
Delivery times, returns windows, click-and-collect, free-delivery thresholds, all read from your own published pages, never invented.
When it's a human job, like a prescription, a complaint or a bespoke quote, it stops and routes to your team with the context attached.
Four verticals, two currencies, one engine. Every figure below is read straight from production telemetry and the stores' own Shopify sales data. Nothing modelled, nothing rounded up.
Most chat vendors quote an engagement rate against the number of times their widget loaded. We don't, because that denominator is worthless on a Shopify storefront: it counts bots, scrapers and preview traffic, and it varies by more than 2× between our own stores depending on where the widget sits.
Orders are the one thing a bot never does. So both halves of this ratio come from order records. ZenAI's attribution on one side, the store's own Shopify sales data on the other. It's the least flattering number we could have picked, and the only one that survives the question.
At the running store, shoppers who had a real exchange with ZenAI before checkout spent around 10% more per order than the store's overall average.
Average reply time across every assistant turn in the window. Fast enough that shoppers keep typing instead of closing the tab.
Counting both hard errors and any reply that came back empty. On a storefront the failure that matters isn't a slow answer, it's a broken one.
No replatforming, no scripts, no chat trees. We prep your product data, point the assistant at it, and a human signs it off before a shopper ever sees it.
Product types, tags and Google categories cleaned up so the assistant can actually find what you sell. One store went from 4% to 99% correctly categorised.
Your tone, your policies, your vertical's guardrails, your delivery and collection rules. Written once, applied to every answer.
Installed and branded to your theme. Start scoped to a single page if you'd rather dip a toe. Off in one tap, always.
An independent judge grades real conversations every week. What it flags, we fix, and you see the fix list rather than a dashboard to babysit.
We prep the catalogue, write the store brain and read the answers ourselves before it goes anywhere near your storefront. Nothing ships on a guess. Scope it to a single page to start, and switch it off in one tap whenever you want.
The questions we get most often from Shopify retailers weighing one up.
A shopper-facing assistant that sits on your storefront and answers questions in plain language, the way a good salesperson would. Unlike a search box it can take a whole question at once, such as "frost free, 70/30, built in". Unlike a scripted chatbot it is not limited to a decision tree. ZenAI answers only from your live catalogue, your real stock and your published policies.
Not all of them. Most are a general language model with a store's logo on it, so they can invent a product, a size, a price or a returns policy. ZenAI can only speak from what it reads in your live Shopify catalogue and your own policy pages. If the thing does not exist it says so, and offers the nearest thing that does. Across the measured window 99.6% of its replies were delivered clean, counting both hard errors and empty replies as failures.
ZenAI searches your live catalogue at the moment it answers, filtered by what the shopper actually asked for, including stock, size and width where those apply. It verifies a product before it names it, and when nothing matches it says so rather than substituting something close.
We set it up for you. We prep your product data so the assistant can find what you sell, write your store brain covering tone, policies and category guardrails, then install it branded to your theme. Live in 24 hours. You can scope it to a single page to start and switch it off in one tap. See how we work.
Two things. It is grounded, so it answers from your live catalogue and policies rather than from general knowledge. And it is tuned per category: pharmacy gets clinical suppression and a hand-off to the pharmacist, electrical gets spec discipline, footwear gets fit and width.
Yes. It is live across running and footwear, pharmacy, electrical and lighting, and sports and teamwear. The guided finder adapts to the category, so it runs as a fit finder in footwear, a supplement or shade finder in health and beauty, and an appliance finder in electrical. See customer stories.
The same engine is already answering thousands of real shoppers across running, pharmacy, electrical and sports retail.