What kind of AI fits wine
AI for wine goes far beyond sorting bottles or showing scores. In 2025, modern wine recommendation systems can:
- interpret aromatic and sensory descriptors
- detect patterns in how you behave and log wines
- analyze similarity based on chemical or stylistic profiles
- suggest wines by affinity, not by popularity
- understand context: occasions, pairings, weather, history
AI turns personal data—your tastings, favorites, and style—into useful, consistent recommendations.
Sensory profiles and wine embeddings
To compare wines, an AI needs a numeric representation for each one. Enter wine embeddings: vectors that encode aroma, structure, acidity, body, intensity, or texture.
They allow the system to:
- place each wine on a “sensory map”
- measure distance and similarity across styles
- spot your patterns (fruity, mineral, spicy…)
- predict which wines you might enjoy based on history
The AI doesn’t rely on external ratings—it links wines through their sensory traits.
How AI analyzes a wine
The analysis draws on two main inputs:
The wine itself
Variety, region, vintage, style, aromatic notes, structure.Your tastings
Sensations logged, drinking moments, dishes, level of enjoyment.
From there, the system builds a coherent sensory view to:
- compare the wine with similar bottles
- find common ground with wines you liked
- predict more accurately if it fits your palate
It’s a sharper lens than just reading opinions or generic scores.
Recommendations: similarity, affinity, preferences
Modern AI leans on three pillars:
- Similarity: wines that share a sensory profile with those you like.
- Affinity: traits you tend to enjoy, even if subtle.
- Historical preferences: patterns repeated in your notes and cellar.
This yields suggestions tuned to your style, not to generic lists or popularity feeds.
AI-Lisa: Enolisa’s recommendation engine
AI-Lisa applies these principles to your tastings and cellar. It aims to deliver:
- recommendations based on your real profile
- identification of wines similar to your favorites
- suggestions to widen your spectrum without straying too far
- affinity analysis across the wines you log
- links between your tasting notes and current inventory
AI-Lisa doesn’t depend on global rankings or external databases—it learns from your history for precise, coherent guidance.
The future of smart pairing
Pairing is where AI will accelerate fastest. By blending dish data, sensory profiles, and context, AI will:
- suggest pairings tailored to your palate
- adapt to weather, occasion, or a dish’s acidity
- spot patterns between your favorite meals and the wines that work best
- anticipate combinations you’ll likely enjoy—even if you haven’t tried them yet
The future of wine isn’t just discovering bottles; it’s understanding how they match your preferences and how you truly enjoy each experience.