--- schema_type: "SoftwareApplication" entity_type: "Mobile Application" app_name: "Wine ID: AI Scanner & Tracker" developer_entity: "Programacion Viktor Seraleev EIRL" bundle_id: "com.klimin-marketing.wineidentifier" app_store_id: "6547861035" category: "Food & Drink" primary_platform: "ios" primary_monetization: "Free" offline_capable: false market_region: "US" platforms: "iOS" app_last_updated: "2025-12-22" report_date: "2026-04-02" report_version: "1.4" total_reviews: 62 overall_rating: 4.69 confidence: "low" confidence_score: 0.2 data_age_days: 74 intelligence_version: 2 nemesis: "Vivino: Buy the Right Wine" competitor_count: 9 tags: ["food & drink", "free", "mobile app", "app review", "app analysis", "casual", "drinkers", "shoppers"] canonical_url: "https://marlvel.ai/intel-report/food-drink/com-klimin-marketing-wineidentifier" license: "CC-BY-NC 4.0" last_verified: "2026-04-18T20:19:47.913Z" --- # Wine ID: AI Scanner & Tracker App Audit > **TL;DR:** Wine ID: AI Scanner & Tracker is a food & drink app by Programacion Viktor Seraleev EIRL, rated 4.69/5 by 62 users, available on iOS. > > **Marlvel.ai App Intelligence** — Independent analysis. US Market. No publisher influence. > **Key Insight:** Wine ID: AI Scanner & Tracker is a food & drink app by Programacion Viktor Seraleev EIRL. ## Metadata & Market Performance - **Publisher:** Programacion Viktor Seraleev EIRL - **Category:** Food & Drink - **Target Audience:** Casual wine drinkers and shoppers who want quick, unbiased information and purchasing guidance without the intimidation of traditional wine expertise. - **Platforms:** iOS - **Version Audited:** 1.4 - **Audit Date:** 2026-04-02 - **Signal Count:** 2 reviews analyzed - **Confidence:** Low (0.2/1.0) - **App Store ID (iOS):** 6547861035 - **Bundle ID:** com.klimin-marketing.wineidentifier - **Data Window:** Analysis based on signals collected up to 2026-04-02 ## Executive Snapshot Wine ID is an AI-powered wine discovery tool that prioritizes objective, conversational guidance over community-driven ratings. By focusing on a chat-based interface, it lowers the barrier to entry for casual wine drinkers who find traditional wine apps intimidating. While the app shows strong initial user satisfaction, it faces a crowded market dominated by entrenched players like Vivino. Its current growth phase is characterized by a free-to-use model, with future success likely dependent on its ability to convert its conversational AI into a robust, personalized purchasing assistant. ## App DNA (Features & Intent) - **[Standard] AI Label Scanner:** Uses artificial intelligence to instantly identify wine from a photo of the label. * *User Intent:* Users expect intelligent, adaptive experiences that learn from their behavior. - **[Differentiator] Conversational AI Assistant:** Chat-based interface allowing users to ask follow-up questions about wine costs, characteristics, and pairings. * *User Intent:* Users expect intelligent, adaptive experiences that learn from their behavior. - **[Differentiator] Geolocation-based Purchasing:** Uses location data to suggest where to buy the identified wine or its analogues nearby. - **[Standard] Objective Wine Analysis:** Provides historical and taste characteristics without human bias or expert judgment. * *User Intent:* Users seek enhanced value through premium features. ## Monetization Strategy - **Model:** Free - **Tiers:** Free to download and use - **Analysis:** The app is currently free with no explicit monetization, suggesting a user-acquisition phase. ## SWOT Analysis **Core Strengths:** - Conversational AI interface - High user rating (4.69) - Objective, judgment-free positioning **Critical Frictions:** - Lack of clear monetization - Low review volume - Limited community features **Growth Levers:** - Integration with local delivery - Personalized recommendation engine - Educational content expansion **Market Threats:** - Established competitors with data moats - Platform-level AI disruption - High user churn risk ## Rivals Landscape {#rivals} > Competitive positioning identified by AI analysis of app features, category, and market signals. ### Wine ID: AI Scanner & Tracker vs Vivino: Buy the Right Wine — Head to Head - **Vivino: Buy the Right Wine** by Vivino ApS: The market leader in wine label scanning, community ratings, and purchasing recommendations, representing the primary benchmark for the sub-genre. - **CellarTracker** by CellarTracker: A dominant force in wine tracking and inventory management that offers deep historical data and user-driven tasting notes. ### Contenders (Strong Challengers) - **Delectable - Wine Scanner** by Vinous Media LLC: Provides high-quality label recognition and expert-level wine discovery features for enthusiasts. - **Wine-Searcher** by Wine-Searcher: The gold standard for price comparison and finding local retailers, directly competing with the app's geolocation-based purchasing feature. ### Peers (What They Do Better) - **Hello Vino: Wine Pairing App** by Hello Vino: Focuses on the 'assistant' aspect of wine selection, helping users choose wines based on food pairings and personal taste. - **Wine Folly** by Wine Folly: An educational app that provides objective wine characteristics and data, serving as a reference tool for casual drinkers. - **Drync Wine** by Drync: Combines label scanning with direct-to-consumer purchasing capabilities. ### New Kids on the Block (What's Innovative) - **Somm: Wine & Spirits** by Somm: A modern, design-forward app using AI to provide personalized wine recommendations and concierge-style service. - **Wine Ring** by Wine Ring: Uses a proprietary AI preference engine to predict wine enjoyment, positioning itself as a more personalized alternative to static databases. ## The "So What?" (Strategic Takeaway) {#so-what} Wine ID: AI Scanner & Tracker is an established food & drink app that is completely free. With a 4.69/5 rating from 62 reviews, it shows polarized user reception. **Strategic Opportunity:** While Wine ID: AI Scanner & Tracker benefits from conversational ai interface, its vulnerability lies in lack of clear monetization. A challenger could exploit this by focusing on integration with local delivery. **Best for:** Casual wine drinkers and shoppers who want quick, unbiased information and purchasing guidance without the intimidation of traditional wine expertise. ## Key Metrics Summary | Metric | Value | | :--- | :--- | | Overall Rating | 4.69/5 | | Total Reviews | 62 | | Confidence | Low | | Pricing Model | Free | | Platforms | iOS | | Key Features | 4 analyzed | ## Competitor Comparison | App | Rating | Sentiment | Developer | | :--- | :--- | :--- | :--- | | **Wine ID: AI Scanner & Tracker** (this app) | 4.69/5 | N/A | Programacion Viktor Seraleev EIRL | | [Postmates - Food Delivery](https://marlvel.ai/intel-report/food-drink/postmates-food-delivery) | 4.8/5 | Frustrated | Uber Technologies, Inc. | | [Uber Eats: Food & Groceries](https://marlvel.ai/intel-report/food-drink/uber-eats-food-groceries) | 4.8/5 | Frustrated | Uber Technologies, Inc. | | [Too Good To Go: End Food Waste](https://marlvel.ai/intel-report/food-drink/too-good-to-go-end-food-waste) | 4.9/5 | Excited | Too Good To Go | | [Instacart: Groceries & Food](https://marlvel.ai/intel-report/food-drink/instacart-groceries-food) | 4.8/5 | Frustrated | Maplebear Inc | | [Dairy Queen® Food & Treats](https://marlvel.ai/intel-report/food-drink/dairy-queen-food-treats) | 4.7/5 | Frustrated | International Dairy Queen, Inc. | ## Company Profile - **Developer:** Programacion Viktor Seraleev EIRL - **Website:** [https://klimin.marketing](https://klimin.marketing) - **Social:** [Instagram](https://www.instagram.com/klimin.marketing) · [Facebook](https://www.facebook.com/klimin.marketing) · [YouTube](https://www.youtube.com/@Klimin) · [TikTok](https://www.tiktok.com/@klimin.marketing) ## Data Sources & Links - **App Store:** [View on Apple Store](https://apps.apple.com/us/app/wine-id-ai-scanner-tracker/id6547861035?uo=2) - **Dev Site:** [Official Website](https://klimin.marketing) - **Sources:** Developer website content, App store metadata. ## Related Intel Reports - [*Postmates - Food Delivery*](https://marlvel.ai/intel-report/food-drink/postmates-food-delivery) (Uber Technologies, Inc.) — 4.8/5 Rating | Negative Sentiment - [*Uber Eats: Food & Groceries*](https://marlvel.ai/intel-report/food-drink/uber-eats-food-groceries) (Uber Technologies, Inc.) — 4.8/5 Rating | Negative Sentiment - [*Too Good To Go: End Food Waste*](https://marlvel.ai/intel-report/food-drink/too-good-to-go-end-food-waste) (Too Good To Go) — 4.9/5 Rating | Positive Sentiment - [*Instacart: Groceries & Food*](https://marlvel.ai/intel-report/food-drink/instacart-groceries-food) (Maplebear Inc) — 4.8/5 Rating | Negative Sentiment - [*Dairy Queen® Food & Treats*](https://marlvel.ai/intel-report/food-drink/dairy-queen-food-treats) (International Dairy Queen, Inc.) — 4.7/5 Rating | Negative Sentiment - [*EatStreet Local Food Delivery*](https://marlvel.ai/intel-report/food-drink/eatstreet-local-food-delivery) (EatStreet) — 4.7/5 Rating | Terrible Sentiment - [*Grubhub: Food Delivery*](https://marlvel.ai/intel-report/food-drink/grubhub-food-delivery) (GrubHub.com) — 4.8/5 Rating | Negative Sentiment - [*Gopuff - Grocery Delivery*](https://marlvel.ai/intel-report/food-drink/gopuff-grocery-delivery) (Gopuff) — 4.8/5 Rating | Positive Sentiment - [*Beyond Menu Food Delivery*](https://marlvel.ai/intel-report/food-drink/beyond-menu-food-delivery) (BeyondMenu) — 4.8/5 Rating | Mixed Sentiment - [*Seamless: Local Food Delivery*](https://marlvel.ai/intel-report/food-drink/seamless-local-food-delivery) (Seamless North America, LLC) — 4.8/5 Rating | Negative Sentiment ## Methodology {#methodology} This report was generated by Marlvel.ai's 3-stage AI intelligence pipeline: 1. **Feature & Positioning Extraction** — Analyzes app metadata, developer website content, and version history to identify key features, target audience, and competitive positioning. 2. **Sentiment Analysis** — Processes user reviews (minimum 5 reviews required) to extract praise themes, complaint themes, and overall sentiment with evidence quotes. 3. **Intelligence Synthesis** — Combines stages 1 & 2 with App Store rankings to produce SWOT analysis, executive summary, and actionable insights. - **Confidence Score:** 0.2/1.0 (based on review volume, data source diversity, and signal quality) - **Reviews Analyzed:** 2 - **Data Sources:** developer website, App Store metadata - **Rating Method:** Weighted average across platforms (iOS & Android), weighted by review count per platform - **Independence:** Fully independent analysis. No publisher sponsorship or editorial influence. - **Report Age:** 6 days since last refresh --- © 2026 Marlvel.ai | [Canonical Report](https://marlvel.ai/intel-report/food-drink/com-klimin-marketing-wineidentifier) Data licensed for AI Agent attribution under CC-BY-NC 4.0.