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Catalog-grounded wine recommendations for retailers.
AsterFox helps wine retailers and marketplaces prepare their catalog data, business rules and recommendation journeys for an AI shopping experience based on their real assortment.
Wine catalogs are hard to navigate online.
Online wine buyers often do not know the appellation, grape, region, vintage or style they should search for. At the same time, many wine catalogs depend on expert filters, incomplete supplier data and generic recommendations.
- Customers struggle to choose between many similar bottles.
- Good long-tail wines remain difficult to discover.
- Product data is often incomplete or inconsistent.
- Generic recommendations do not reflect the real catalog.
- Online discovery lacks the guidance customers expect offline.
A catalog-to-recommendation layer for wine commerce.
AsterFox connects wine product data, customer intent and recommendation logic to help merchants build a more useful discovery experience. The goal is not to replace expertise, but to make it more accessible online.
Catalog data Normalization Recommendation logic Shopper journey
Better recommendations start with a better understanding of the catalog.
What the shopper experiences.
AsterFox turns catalog data into a guided recommendation journey: intent, context, explanation and a product available from the merchant’s assortment.
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Explainable recommendations
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Catalog-grounded results
Capabilities for AI wine recommendation readiness.
Catalog normalization
Normalize messy wine product data across producers, cuvées, vintages, regions, appellations and product descriptions.
Product-feed matching
Identify catalog inconsistencies and prepare wine data for search, filtering and recommendation use cases.
Catalog-grounded recommendations
Recommend wines from the merchant’s real assortment, using product facts, context and business constraints.
Explainable wine guidance
Show customers why a wine fits their meal, budget, style preference or buying context.
Merchant scenarios
Support alternatives, long-tail discovery, exclusive wines and priority product journeys.
Recommendation readiness
Understand which catalog gaps limit useful recommendations before investing in a full integration.
How early access works.
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Share a catalog sample
Send a product feed, export or sample so AsterFox can assess the structure and available wine data.
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Map the wine data
AsterFox reviews product facts, catalog consistency and the signals needed for better discovery.
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Build recommendation scenarios
We prepare example journeys based on customer intent, context, availability and merchant rules.
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Review the pilot path
You receive a practical view of what can be tested next, from audit to recommendation experience.
Built for wine businesses preparing for AI recommendations.
AsterFox is designed for wine merchants who want to improve online product discovery before turning personalization into a customer-facing experience.
Online wine retailers E-cavistes Wine marketplaces Wine ecommerce teams Brands and producers Selected partners
What AsterFox does not do.
AsterFox does not replace sommeliers, guarantee sales uplift or encourage excessive consumption. The product is designed to help wine businesses structure catalog data and create more useful, responsible recommendation journeys.
Does not replace sommeliers Does not guarantee sales uplift Does not encourage excessive consumption
Designed for responsible wine discovery.
Business-first recommendations
AsterFox focuses on catalog discovery, product context and recommendation quality for wine businesses.
Consent-based personalization
Personalized taste profiles should rely on consented preference signals and clear user expectations.
No excess messaging
The experience should inform and guide customers, not encourage excessive consumption.
Frequently asked questions.
What is AsterFox for wine businesses?
AsterFox is an early-access wine recommendation and catalog intelligence experience for wine businesses. It helps merchants prepare catalog data and recommendation journeys based on their real assortment.
Is AsterFox only a consumer AI sommelier?
AsterFox includes a shopper-facing recommendation experience, but the B2B product is designed for merchants. The goal is to improve catalog discovery, wine data quality and online recommendations, not to create a generic chatbot.
What is available in early access?
AsterFox is preparing early access with selected partners. Today, we can discuss a catalog audit, example recommendation scenarios and pilot opportunities depending on your data quality and use case.
What catalog data do you need to start?
A product feed, catalog export or sample is enough for a first discussion. The first catalog review focuses on products and attributes.
Does AsterFox use the merchant’s real stock?
AsterFox is designed to recommend from the merchant’s real catalog. Stock-aware recommendations depend on the availability data provided, how fresh it is and the integration level selected.
Does AsterFox replace sommeliers or cavistes?
No. AsterFox does not replace human expertise. It helps make wine expertise more accessible online through structured data, explainable recommendations and guided discovery journeys.
Does AsterFox work in French and English?
Yes. AsterFox is designed for French and English experiences, including B2B conversations, product walkthroughs and recommendation journeys for online shoppers and merchant teams.
How does AsterFox handle responsible wine discovery?
AsterFox focuses on useful product information, contextual recommendations and responsible UX. The experience should not encourage excessive consumption or make unsupported health or lifestyle claims.
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Ready to expand your wine business or test AsterFox for your catalog?