Your customers are already asking AI for advice, recommendations, and help deciding what to buy. Right now, the answer isn't one of your products. Cognaris AI Commerce is the genuinely useful assistant they keep opening — and when a real buying moment arrives, the answer is one of your products: in stock, one tap to basket, your brand.
"Hey ChatGPT, what's the best protein powder for recovery? Add the top pick to my Amazon basket."
That question used to be a session on your website or app — search, browse, compare, add to basket. Now it's a sentence, and the answer comes from a general-purpose AI that doesn't know your brand, doesn't see your stock, and has no reason to recommend you.
Your customer asks a question. Our AI understands the intent, consults your live catalogue, recommends exactly the right product, and adds it to the basket — all inside your brand. No clicks to search. No comparison pages. No tab-switching.
In natural language or voice. "What do I cook tonight with mince?" "Fix my dripping tap." "Best running shoes for a marathon?"
Your AI reads the real intent, the customer's history, the context. It thinks like your best in-store expert — not a generic chatbot.
From your live catalogue — real-time stock, nearest store, personalised. Not generic advice followed by a search — the actual product, ready to buy.
One tap adds to basket. Click & collect, home delivery, reserve in-store. The whole journey happens inside your app — your brand, your sale.
The world's best salesperson isn't the one with the best pitch.
It's the one standing next to the customer when they ask the question.
We've built a complete AI Commerce demonstrator — every capability in one working example. Conversational shopping. Live catalogue and stock. One-tap basket. Voice-first and hands-free. And AI vision with virtual try-on — because in more and more categories, the customer wants to see it on themselves before they buy.
Every recipe is grounded in real cookbooks — not hallucinated by a model. The same grounding discipline applies to your catalogue, your guidance, your expertise. Trust is a build decision.
The shop-front is a supermarket (FreshChef) — but the engine underneath is the same one we'd build for fashion, sport, home, automotive, or any category where your customers ask a question before they buy.
Complete AI Commerce showcase
Customers already use their camera to shop. AI Vision lets your brand answer in kind — virtual try-on, scene understanding, product identification from a photo. It turns the smartphone into a fitting room, a showroom, a site surveyor.
No more hunting across tabs, reading reviews, second-guessing. They describe what they need and it appears — in the brand they already trust.
What used to take twenty minutes of browsing now takes thirty seconds of conversation.
Advice with the depth of a specialist, the patience of a teacher, and the hours of none of either.
Voice-first while cooking, driving, parenting. Works the way real life actually is — hands busy, mind on the question.
Personalised by their history, their situation, their kitchen, their home, their style — not the generic "most popular."
Every question your AI answers is one your competitor didn't. And when there's a genuine buying moment in the conversation, the recommendation comes from your catalogue — not a link somewhere else. Useful always; commercial when it actually helps.
AI that recommends a full meal, a full outfit, a full project — not one product. Basket size grows because the advice naturally expands scope.
Customers don't open 20 shopping apps. They open the one that saves them time and gets them right answers. Be that one.
When the answer to "what should I buy?" comes from your AI, it's never a competitor's product. The commerce moment stays inside your brand — by design.
Every question is a signal. You see what customers actually want, in plain English — before any of it shows up as search volume somewhere else.
Every question the AI handles never becomes a phone call, a chat ticket, or an email. Your support team focuses on the conversations that actually need a human.
Stock planning, content gaps, category trends — surfaced automatically from real conversations. Your buying team gets a weekly dashboard that's better than any focus group.
Two live products you can see right now — one is a complete AI Commerce demonstrator, one is AI for care. Same engine, different moment.
Also prototyped
Happy to walk you through any of these in a call — tailored to your catalogue, your customers, your systems.
AI Commerce is built on the Cognaris platform — which means we can deploy it as a new branded app on iOS, Android and web, embed it inside your existing app or website, or expose it via an API your team can integrate. Your catalogue, checkout and identity systems stay where they are.
Our commerce engine is already built. What we tailor for you is the catalogue connection, the conversational tone, and the brand. Timelines and investment scale with the ambition of the brief — we'll map both in the first conversation.
We spend a session with you mapping the commerce moment for your category. You leave with a written plan and a clear view of the value at stake.
We stand up a working version in your brand, connected to a sample of your catalogue. Your team can hold it, talk to it, sell with it — long before the full build is complete.
We connect to live catalogue, basket, identity and analytics. The AI learns your voice and your merchandising rules. We widen the category coverage.
We ship to iOS, Android, web, or embedded — whichever mix you need. You get the intent-data dashboard, we iterate monthly as conversations teach us more.
Send us your category, your catalogue footprint, and the question your customers most often ask. We'll come back with a clear view of what AI Commerce could look like in your brand — and what it would take to build it properly.