Turn browsers into buyers — with AI that understands your shoppers in real time. Instantly guide your online shoppers to the products they’re most likely to buy — no data, no training, no complexity.
Who’s It For?
Perfect fit for:
Fashion & Apparel
Jewelry & Accessories
Footwear
Home & Interior
Eyewear
Smarter Browsing
❤️ Shoppers see what they love without searching for it.
01
More in the Cart
🛒 They add more to cart because the suggestions feel made just for them.
02
Lower Bounce Rate
📉 Bounce rates drop — visitors stay longer, browse more, and convert.
03
How AI Instantly Improves Your Store
FEATURES OVERVIEW
Our system analyzes product images — including color, shape, material, and style — to suggest visually similar items that match the customer’s aesthetic.
Using product titles, tags, and descriptions, we generate context-aware suggestions — ideal for surfacing items with similar themes, use cases, or styles.
Move beyond similar-looking items. Our AI groups complementary products into complete, shoppable sets. These bundles are designed to match in style, purpose, or occasion — helping customers discover items that go well together.
Easily embed recommendations into your product pages, category pages, or cart flow. No popups. No interruptions. Just seamless UX.
Use it as a standalone solution — or pair it with your existing recommendation engine for even deeper personalization.
Live in 3 days. No training, no manual tagging, no customer data required.
Connect Your Store
Visual + Semantic Product Analysis
Real-Time Session Intelligence
We integrate with your existing platform — Shopify, Wix, WooCommerce, or a custom site — and connect directly to your product catalog, including product images and descriptions.
Setup takes just 3 days — no dev work, no complex configuration.
Our team handles the full onboarding process, ensuring seamless connection to your store’s backend and smooth visual integration into your frontend.
Your store stays the same — just way smarte
Our AI scans each product image and description to understand:
Textual features — keywords, product names, tags, material, category
This deep analysis allows the system to cluster products by how they look and how they’re described — creating a multi-dimensional understanding of your catalog.
As the shopper navigates your store, the engine watches what they’re browsing in real time — and immediately suggests visually and semantically similar items from your catalog.
No customer history, no prior behavior — just instant, in-session personalization.
Recommendations are displayed natively in your storefront UI — embedded directly in product pages, category listings, or checkout flow.
No popups, no lag, no disruption. Just a smarter, smoother shopping experience.
HOW IT WORKS
This is not your average recommendation engine. It doesn’t just look at what users click — it understands your products on a visual and semantic level.
We saw a 27% increase in conversions in the first week — without touching a single line of code.
Marcus Taylor
Head of eCommerce at Velvet
Our bounce rate dropped 21% almost overnight. It's like the AI reads intent in real time.
Jonas Müller
CEO Urban & Wilde
This replaced our entire manual recommendation system — and performs 10x better.
Lena Rossi
Marketing Manager at Gioielli
Our AOV is up 16%, and customers are exploring more products than ever.
Carlos Mendes
Operations Lead at Allset Jewelry
We've tested dozens of personalization tools — this is the first one that truly worked out of the box.
Amira Khaled
Growth at Satori Living
Fast integration, clean results, and a meaningful boost to UX. We were live in under 72 hours.
Dmitry Levin
Tech Lead at MODX
The AI suggestions feel so natural that customers think they’re handpicked.
Rachel Brooks
Head of Digital at GlassHaus
We've seen more discovery, longer sessions, and 15% higher average order value. It’s now a core part of our stack.
Leo Mancini
Co-founder of MONO Objects
It’s like giving each customer a personal stylist — but fully automated.
Sana Iqbal
Manager at PRISMA
Even with a small catalog, the system finds visually relevant products and boosts conversions.
Felix Andersson
Shopify Store Owner
This AI layer is what every modern eCommerce store should have by default.
Isabelle Kim
Consultant for DTC
We didn't expect much — but the increase in cart size and scroll depth surprised our entire team
Jenna Rogers
Marketing Manager at Atelier
Ready to Transform Your Store?
Live in 3 days
Zero risk, full support
30-min demo available today
Speak to an expert
See how AI recommendation solutions can boost your business.
Request a Free Demo
See how AI can boost your sales
We’ll get back to you within an hour. No commitment required.
FAQ
Lightning-fast. Recommendations are generated instantly as users browse your store — with no delay or loading screens.
Our AI analyzes both product images and text descriptions to understand color, shape, material, and style. It then matches products in real time based on visual and contextual similarity.
Simple! Just connect your store (Shopify, Wix, WooCommerce, or custom) and we’ll handle the integration. Most stores go live in 3 days or less.
The system supports all languages used in product descriptions — including English, Spanish, German, French, Italian, and more. It can operate in any language your storefront uses.
Traditional engines rely on past behavior and purchase data. Our AI engine is session-based, meaning it recommends products in real time based on what the customer is currently viewing — no history or logins needed.
We’ve done it for you! Our plug-and-play engine uses cutting-edge computer vision and semantic models — no need to build your own.
Our AI recommendations are based on:
Real-time shopper behavior (session-based)
Product visuals (images, style, color)
Product content (titles, tags, descriptions)
No personal data or purchase history required.
You don’t need to. The system works out of the box, no training or tagging required. However, high-quality product images and clear descriptions always help. Already using a recommendation engine? No problem — our system can run alongside your existing one and even outperform it in real-time personalization. Many brands use our AI to complement logic-based or data-heavy engines with a smarter, session-aware layer.