of consumers prefer brands that offer relevant recommendations.
Accenture
For beverage sellers
Turn your inventory data into a personalized discovery channel.
CupBearer helps beverage sellers make their catalog discoverable inside an app built for scanning, personalized recommendations, price comparison, and affiliate-driven customer acquisition.
Personalized discovery for app users
Recommendations, scanning, and comparison powered by seller catalog data.
Why CupBearer
Shoppers need help choosing. Sellers need better discovery.
CupBearer exists to connect structured seller inventory with users who are scanning, comparing, and looking for drinks that match their taste and budget.
more likely to purchase when brands personalize the experience.
Epsilonleft a site and bought elsewhere due to poor curation.
Accenture
What we provide
An app experience built around beverage discovery
Sellers provide product data. CupBearer turns that data into user-facing discovery experiences: scanning, personalized recommendations, product details, and price comparison.
Structured product discovery
Users can explore products using seller-provided information such as taste profile, description, price, and image.
Advanced scanning experiences
CupBearer is developing scanning features to help users identify and evaluate beverages from real-world contexts.
Personalized recommendations
User profiles and preference signals help the app recommend drinks that better match individual taste.
Price comparison across sellers
Users can compare available options and pricing while evaluating what to buy.
The partner journey
How seller data becomes user value
CupBearer is designed as a mutual relationship: sellers provide inventory data, users receive better discovery, and sellers gain affiliate traffic and preference insight.
Seller shares inventory data
Product names, taste notes, descriptions, prices, images, and availability data make the catalog usable for discovery.
Starting pointCupBearer powers discovery
The app uses that data for scanning, recommendations, product detail pages, and price comparison.
User experienceUsers discover and compare
App users build profiles, scan products or menus, receive personalized suggestions, and compare seller options.
High-intent momentsSellers learn and grow
Affiliate traffic and preference statistics help sellers understand what users search, compare, and respond to.
Feedback loop
What sets us apart
Differentiator 01
Affiliate traffic from users already evaluating a purchase
CupBearer's business model is affiliate marketing: when users discover and compare products in the app, seller offers can be connected to purchase intent.
more likely to purchase with personalized brand experiences
Epsilonincrease in sales-conversion from personalization
Shopifyleft a site and bought elsewhere due to poor curation
Accenture
What sets us apart
Differentiator 02
A discovery channel built with decentralized data
CupBearer is not only a listing page. It connects seller inventory to app features that help users choose
of Amazon purchases originated from its recommendation engine
Shopifyof customers bought a product because of a personalized recommendation
MoEngageof e-commerce revenues attributed to product recommendations
Barilliance
Personalized recommendations
Advanced scanning
Price comparisons
What sets us apart
Differentiator 03
Preference statistics that improve the relationship over time
As users interact with recommendations, scans, comparisons, and product pages, CupBearer can help sellers understand preference patterns beyond simple sales totals.
Flavor clusters
Smoky, citrus, sweet, dry, bitter
Competitor proximity
Taste-space adjacency mapping
Geographic taste
Regional preference differences
Price sensitivity
Willingness-to-pay by segment
Category cross-over
Cross-drink behavior patterns
Discovery patterns
How consumers explore and choose
Become a partner
Start with your catalog and inventory data
CupBearer needs seller data to train and improve its recommendation and discovery systems. The partnership starts by mapping your catalog, inventory, metadata, and preferred integration method.
Share product catalog
Provide product names, categories, descriptions, images, and other available catalog fields.
Provide inventory and price data
Keep availability and pricing data current enough to support useful discovery and comparison.
Add taste and product metadata
Taste notes, flavor profile, ABV, format, age, brand, and other metadata improve matching quality.
Improve the model together
Over time, seller data and user interaction signals help improve recommendations and preference insights.
Partnership setup
Making your inventory visible on CupBearer starts with legal alignment, a technical discovery session, and a clear data-sharing plan.
Sign NDA
Technical discovery session, about 1.5 hours
Define DB or REST API access
Define data retrieval method and frequency
Share name, brand, category, flavor notes, description, image, age, strength, price, and availability where available
Contact me about becoming a partner