How Virgin Wines Uses AI For Customer Personalisation

Deconstructing Taste with Sensorial AI

The article explores an innovative initiative leveraging sensorial artificial intelligence (AI) to understand and model human preferences concerning taste, aroma and texture, with a specific focus on wine. This sophisticated technology dissects wines into their core sensory attributes, such as acidity, sweetness, tannin structure, body and distinctive flavor profiles, to provide data-driven insights. Advanced machine learning systems utilize these insights to categorize wines based on their actual sensory characteristics, rather than just their labels. Preferabli’s platform stands out by delivering personalized recommendations to consumers. It utilizes a proprietary sensorial AI model that integrates a vast inventory dataset with individual user signals collected through questionnaires, searches and historical purchase patterns. Cooper highlights the impressive capability of the machine-learning technology to consistently deliver an intuitive, relevant, and confidence-enhancing experience for customers.

Key Points:

The article introduces the concept of sensorial AI in understanding and modeling human preferences.
It breaks down wines into sensory attributes for data-driven categorization.
Preferabli’s platform uses a proprietary AI model for personalized wine recommendations based on user data.
The advanced machine-learning technology enhances the customer experience by providing intuitive and relevant wine suggestions.
Cooper emphasizes the confidence-building and relevant interaction facilitated by the AI technology at every touchpoint.