AI Catalogue Intelligence for Wine Retailers

We help wine retailers, e-cavistes, marketplaces and hospitality partners transform complex wine catalogues into personalized, explainable recommendations connected to real inventory, prices and product data.

Unlike a generic chatbot or a standalone AI sommelier, AsterFox combines product-feed intelligence, wine matching, taste profiles, contextual recommendation logic and clear explanations. Customers can be guided by food pairing, occasion, budget, preferred style, discovery needs or similarity to wines they already like, while merchants can use the same layer to improve product discovery, surface long-tail SKUs and better understand demand signals.

AsterFox can be deployed initially as a guided recommendation experience or pilot on a real catalogue, with a path toward widget, API or white-label integration.

Potential use cases include:

• guided wine selection from a merchant’s real catalogue;

• catalogue audit, normalization and enrichment;

• taste-profile based recommendations;

• food, gift, budget and occasion-based recommendations;

• merchant analytics on customer intent, demand gaps and product discovery;

• future API integration for wine intelligence and recommendation workflows.

We are looking to engage with wine retailers, e-commerce platforms, marketplaces, hospitality groups and ecosystem partners interested in testing AI-powered catalogue intelligence and recommendation experiences with measurable business outcomes such as recommendation engagement, product clicks, assisted discovery and catalogue insights.

AsterFox is currently focused on France and Europe, with a first priority on wine commerce, premium beverage discovery and B2B/B2B2C recommendation use cases.