The
swipe native
storefront that converts
Rubikc turns mobile browsing into a continuous flow that
lifts
conversion, AOV and repeat
Old school front ends are failing
Grids were build for desktops, not thumbs
Bounce is high, pages per session are shallow, variant choice is hidden
Ads keep getting pricier while conversion refuses to budge
The result is a top heavy funnel and wasted intent
Rubikc is a swipe native front-end...
...where vertical swipes move between products and horizontal swipes reveal each product’s story, variants, and purchase actions; AI personalizes the flow so the right content and the right call to action appear at the right moment.
Generative AI meets machine learning
Content generation at scale
Rubikc uses advanced generative AI tools to create product descriptions and visual content that are tailored to each merchant’s context.
Continuous learning loop
Our machine learning algorithms analyze user engagement, conversion signals, and behavioral patterns to identify what drives action. This feedback loop continuously improves the generative models, creating a system that gets smarter over time.
Predictive personalization
By combining generative AI content creation with machine learning’s predictive analytics, Rubikc anticipates user intent and delivers the right content at the right moment in real time.
The result
A front end that does more than personalize. It learns and evolves with every interaction, building compounding competitive advantages that improve over time.
Note: figures are early and directional based on pilots and internal analytics. Results vary by category, traffic quality and merchandising.
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white glove onboarding
Eligibility
for the first public case studies and conference slots
Priority
on new features and templates
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