Case studies

Case studies — Virtual sommelier

The integration of a virtual sommelier represents a major step forward for wine and spirits players looking to enrich their digital customer experience. By leveraging the power of generative AI, Good Morning AI transforms product discovery into a fluid and personalised dialogue, capable of guiding users based on their tastes or food-wine pairings. Our projects illustrate how intelligent automation replaces static search filters with genuine conversational expertise available 24/7. This approach helps remove barriers to purchase while highlighting the heritage and storytelling of the estates. Discover our concrete achievements in conversational commerce and purchase journey personalisation for premium brands.

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The emergence of the virtual sommelier is redefining standards in wine e-commerce by bringing a human and expert dimension to the digital interface. At Good Morning AI, our methodology is not based on developing complex proprietary technology, but on optimising proven business applications coupled with the best language models. This strategy ensures maximum reliability in recommendations and seamless integration with existing product catalogues.

The cases presented here demonstrate several strategic applications:- Contextual decision support based on sensory criteria rather than simple technical filters.- The automatic generation of tasting notes and gastronomic pairings adapted to the customer's profile.- Support for sales teams via real-time assistance tools during events or in-store.

By using generative artificial intelligence, we enable marketing and creative teams to deploy agents capable of scrupulously respecting the brand's tone of voice. These interfaces do not just answer questions; they create deep engagement by telling the story of the terroirs. For e-commerce managers, deploying such an assistant is a powerful lever to reduce cart abandonment rates and increase average basket value through relevant cross-selling suggestions. Our interventions focus on data structuring and response fine-tuning to ensure a friction-free and high-quality user experience.