Your Personal Wine Sommelier in Your Pocket — AI-powered wine recommendation engine that learns your palate, finds wines at any price point, identifies wines from photo of label, and teaches you wine without the pretension. Scan a label, get instant tasting notes, region info, and food pairing. $9.99/month.
Somm in Your Pocket is an AI-powered wine companion that makes wine accessible to everyone — from complete beginners to serious enthusiasts. Point your phone at a wine label and get instant context: tasting notes, region and producer background, wine style (body, tannin, acidity, sweetness), food pairing recommendations, approximate retail price, and whether this wine is a good match for your palate profile. Over time, it learns what you like and starts proactively recommending wines you'll love — whether you're at a restaurant, grocery store, or wine shop.
Users feel confident ordering wine at restaurants, selecting bottles at stores, and expanding their palate. They spend less on wine they don't like and more on wine they do. The product democratizes wine knowledge without the gatekeeping.
Point camera at wine label. AI extracts: producer, region, vintage, wine name, grape variety. Works with a database of 200,000+ wines. For new/unknown wines, manual entry with photo capture is supported. Instant return of full wine profile.
Every scanned wine returns: primary grapes, region and why it matters, wine style characteristics (body: light/full, tannins: low/high, acidity: low/high, sweetness: dry/off-dry), tasting notes in plain English (not "dark fruit notes with hints of cedar"), consumer average price, and quality score (80–100 scale based on critical consensus).
After scanning a wine, ask conversational follow-up: "Is this similar to Pinot Noir?" or "What foods would pair with this?" or "What wine should I try if I like this but want something more adventurous?" The AI sommelier explains in plain language, not wine-snob language.
Through conversation and scan history, the app builds your personal palate profile: preferred body weight, preferred tannin level, acidity preference, sweetness preference, flavor profile (fruity vs earthy vs floral vs spicy). Visual radar chart shows your "taste DNA." Updates as you log more wines and rate them.
Input: budget, food pairing, occasion, style preference. Output: specific wine recommendations with retailer pricing. "I'm having salmon tonight, $30 budget, something dry." → specific bottles you can find. Not generic — specific bottles with names, producers, and why they'll work.
Tell the app what you're cooking or what you're ordering at a restaurant. Get wine pairing recommendations with explanations: why this wine works with this dish, what to avoid, and whether red/white/rosé/sparkling is better suited. Multi-course meal planning supported.
Built-in structured lessons: "Understanding Red Wine Body," "What Makes Champagne Different," "French vs Italian Wine Styles." 5-minute lessons with interactive quizzes. Gamified progression with badges. Builds genuine knowledge, not just answers.
Select your region and store (or scan restaurant wine list). The app identifies wines on the list that match your palate profile and highlights them with a score. In a restaurant: "You have 4 wines on this list that match your profile — the Côtes du Rhône at $42 is your best match."
| Tier | Price | Includes |
|---|---|---|
| Free | $0 | 5 scans/month, basic wine profiles, basic food pairing |
| Somm | $9.99/month ($79/year) | Unlimited scans, full wine profiles, palate builder, recommendations, restaurant mode, mini-courses |
| Connoisseur | $19.99/month ($149/year) | Everything Somm + advanced tasting notes, Sommelier Q&A (unlimited), exclusive discovery bottles, early access to new features |
Affiliate revenue from wine purchases (integrated wine retailers pay 10–15% commission on bottles sold through recommendations).
| Metric | Why It Matters |
|---|---|
| Scan-to-Rating Rate | Do users actually rate wines they scan? High rate = engaged with palate learning. |
| Recommendation CTR | Do users act on wine recommendations? Low CTR = recommendations not matching taste. |
| Food Pairing Usage | Users who use food pairing feature retain longer. Core use case. |
| Course Completion | Are users finishing mini-courses? Indicates product-market fit for education. |
| Risk | Mitigation |
|---|---|
| Wine database quality | Start with Vivino's public database or partner with a wine data provider. 200K+ wine database available via license. |
| OCR failures on labels | Handwriting is hard. Offer manual override. Improve recognition over time with user corrections. |
| Recommendations feel generic | Invest in palate profile accuracy. The more accurate the profile, the better the recs. |
| Competition (Vivino, Delectable) | Focus on the AI conversation + education layer. Others are visual/label scanners; we're a sommelier in your pocket. |