Hyper-personalized shopping experiences that adapt to you in real-time.
Every user gets their own unique store.
What Netflix did for content, we're doing for commerce.
Say "too expensive" and watch the layout adapt. This is the "Spotify Loop" for shopping.
Netflix shows you different movies. Spotify creates your Discover Weekly.
Why does every shopping site look the same?
Your homepage is different from mine. Every row is personalized to your taste.
Discover Weekly is unique to you. The algorithm learns from every skip and play.
Your watchlist, your recommendations, your experience — all unique.
While streaming services perfected hyper-personalization, e-commerce stayed stuck in the 2010s.
Same products. Same layout. Same experience for everyone.
"What if A/B testing never stopped?"
For consumers: Hyper-personalization like Netflix and Spotify.
For businesses: A/B testing evolved — infinite variants, continuously learning.
Living Assortment generates infinite personalized variants — one unique experience per user, continuously adapting.
Why does Netflix personalize content but shopping sites don't?
"Netflix shows you different movies based on what you watch.
Spotify creates playlists unique to your taste.
Why does every shopping site look identical?"
Living Assortment solves the Netflix Paradox for commerce. Every user gets a unique shopping experience, generated in real-time, that adapts to their preferences, context, and behavior. It's hyper-personalization, finally applied to shopping.
V4 integrates live web intelligence to bridge the gap between demo and production-ready commerce.
Each user's experience is a continuous experiment.
Tavily integration enriches product decisions with real-time trends, pricing, and expert opinions from across the web. Like Netflix's recommendation engine, but for shopping.
Bridge the gap between "art of the possible" and enterprise-grade agentic commerce with real-world data connections. Hyper-personalization at Netflix scale.
Products show real-time social proof and expert validation. Layouts adapt to trending styles and market conditions. Your Discover Weekly, but for products.
This demo documents its own evolution. Experience each version to understand the architectural progression.
One-shot generation with direct fetch calls
Conversational "Spotify Loop" experience — your feedback becomes the next test variant, just like Spotify learns from your skips.
Real-time progressive rendering
Tavily integration for real-world data
See what shopping looks like when it's personalized just for you.
Every user gets a unique layout. Every interaction refines the next.