--- schema_type: "SoftwareApplication" entity_type: "Mobile Application" app_name: "Wine Scanner AI: Remember Wine" developer_entity: "SUPERM" bundle_id: "ai.winescanner.app" app_store_id: "6612023259" category: "Food & Drink" primary_platform: "ios" primary_monetization: "Free" offline_capable: false market_region: "US" platforms: "iOS" app_last_updated: "2026-05-06" report_date: "2026-08-09" last_verified: "2026-08-09T00:00:00.000Z" report_version: "21.2" total_reviews: 43 overall_rating: 4.7 sentiment: "Thrilled" sentiment_score: 85 confidence: "low" confidence_score: 0.35 top_praise_theme: "Image recognition technology identifies obscure wine labels accurately even in low-light restaurant environments" top_complaint_theme: "Server-side connectivity failures prevent the scanner from identifying any wine labels during usage" review_sample_size: 12 total_review_count: 12 analyzed_review_count: 12 data_age_days: 52 momentum_velocity: "maintenance" intelligence_version: 3 tags: ["food & drink", "free", "thrilled sentiment", "mobile app", "app review", "app analysis", "enthusiasts", "looking", "catalog"] canonical_url: "https://marlvel.ai/apps/wine-scanner-ai-remember-wine" license: "CC-BY-NC 4.0" content_version: "v2" --- # Wine Scanner AI: Remember Wine Intelligence Report ## TL;DR {#tldr} - **Category**: Food & Drink · Free - **Signal**: Rating 4.65 · Sentiment Thrilled - **Recent focus**: Server-side connectivity failures prevent the scanner from identifying any wine labels during usage (top complaint) · Image recognition technology identifies obscure wine labels accurately even in low-light restaurant environments (top praise) > **TL;DR:** Wine Scanner AI: Remember Wine is a food & drink app by SUPERM, rated 4.65/5 by 43 users, with Thrilled user sentiment (85/100), available on iOS. > > **Marlvel.ai App Intelligence** - Independent analysis. US Market. No publisher influence. > **Key Insight:** Wine Scanner AI: Remember Wine maintains Thrilled user sentiment (4.65/5 from 43 reviews), with users consistently praising image recognition technology identifies obscure wine labels accurately even in low-light restaurant environments. ## Quick Facts | Fact | Value | | :--- | :--- | | **Rating** | 4.65/5 (43 reviews) | | **User Mood** | Thrilled | | **Category** | Food & Drink | | **Developer** | SUPERM | | **Pricing** | Free | | **Platforms** | iOS | | **Confidence** | Low (0.35/1.0) | | **Data Age** | 52d | ## Metadata & Market Performance - **Publisher:** SUPERM - **Category:** Food & Drink - **Target Audience:** Wine enthusiasts looking to catalog their tasting history and simplify the process of identifying wine labels. - **Platforms:** iOS - **Version Reviewed:** 21.2 - **Report Date:** 2026-08-09 - **Signal Count:** 12 reviews analyzed - **Confidence:** Low (0.35/1.0) - **App Store ID (iOS):** 6612023259 - **Bundle ID:** ai.winescanner.app - **Performance Trend:** Mixed - **Data Window:** Analysis based on signals collected up to 2026-08-09 ## Executive Snapshot **What it is:** Wine Scanner AI is a food and drink utility for iOS that identifies wine labels and builds a digital tasting diary for casual enthusiasts. **Why users hire it:** Users hire the app to offload the mental effort of remembering wine preferences and tracking cellar inventory without manual data entry. ## App DNA (Features & Intent) - **[Differentiator] Label Recognition:** Camera-based identification of wine name, winery, grape, region, and color. [Revenue Link: Core utility loop that drives daily active usage — retention lever for long-term collection building.] * *User Intent:* Users are motivated by consistent progression and daily incentives. - **[Standard] Digital Wine Diary:** Automated entry creation for every scanned bottle with image storage and personal notes. [Revenue Link: Increases switching cost by accumulating personal data — retention lever.] - **[Standard] Star Ratings:** User-defined rating system for tracking personal preferences within the diary. [Revenue Link: Engagement loop that encourages repeat app interaction — retention lever.] * *User Intent:* Users want visibility into their own performance and progress. - **[Differentiator] Wine Wrapped:** Annual summary of tasting trends and top-rated varietals. [Revenue Link: Year-end engagement spike — retention lever for annual user base.] ## Market Position {#market-position} Wine Scanner AI holds a #58 Grossing position in its category in Mexico, signaling early international traction. The lack of IAP gates relative to the category norm suggests a growth-first strategy that prioritizes user acquisition over immediate revenue. ## Monetization Strategy - **Model:** Free - **Tiers:** Free access to all current features - **Analysis:** The app currently operates as a free utility with no visible subscription or IAP gates. ## 🟢 User Sentiment (Low Confidence: 12 of 12 reviews analyzed) {#user-sentiment} - **Overall Rating:** 4.65/5 - **Platform Split:** iOS 4.7/5 (43 ratings) - **Overall Sentiment:** Thrilled ### Top Praises - **Image recognition technology identifies obscure wine labels accurately even in low-light restaurant environments** - **Collection management features allow users to track cellar inventory without tedious manual data entry** - **Beginner-friendly interface design helps casual drinkers understand wine characteristics without requiring deep expertise** ### Top Complaints (Impact Areas) - **Server-side connectivity failures prevent the scanner from identifying any wine labels during usage** ## SWOT Analysis {#swot} **Core Strengths:** - Automated diary entry reduces friction for cellar management - Label recognition accuracy in low-light environments drives daily utility - Annual tasting summaries encourage year-end engagement **Growth Levers:** - Implement premium tiers for advanced cellar analytics - Develop offline scanning capabilities to capture remote-cellar users - Expand B2B partnerships with local wineries ## Recent Changes (v2 → v3) {#recent-changes} The app has pivoted from a passive free-utility model to identifying monetization opportunities and offline-caching as critical paths for sustainability. **Overall trend**: Mixed **Compared at**: 2026-08-09 ### High-impact changes - **[Added] International Market Traction** (positioning) - **[Added] Monetization and Offline Opportunities** (swot) ### Medium-impact changes - **[Shifted] Roadmap Prioritization** (features) - **[Added] Competitive Threat Landscape** (swot) ## What's New - **Latest (v21.2, 3 months ago):** UI update to improve polish and intuitiveness of Wine Scanner AI. ## App Momentum (Maintenance) {#momentum} - Ships bug fixes at 13-week cadence. - Maintains 4.65-star rating across 43 reviews. > **Cadence:** 1 total versions · 0 majors in last 6 months · 94 days since last update ## The "So What?" (Strategic Takeaway) {#so-what} Wine Scanner AI: Remember Wine is a market-leading food & drink app that is completely free. With a 4.65/5 rating from 43 reviews, it delivers strong user satisfaction. > **Bottom Line:** Wine Scanner AI succeeds as a frictionless utility for casual cataloging, but its reliance on server-side connectivity creates a high churn risk, so the team must prioritize offline-mode development to stabilize the user base before introducing monetization. **Best for:** Wine enthusiasts looking to catalog their tasting history and simplify the process of identifying wine labels. ### PM Action Plan (Next Best Moves) - [ ] [INVEST] Ship offline-caching for label data because server-side outages are the top complaint → reduce churn ### Outlook: Mixed The casual wine-cataloging market is consolidating around reliable, offline-capable utilities, leaving Wine Scanner AI exposed due to its server-side dependency. Unless the team shifts from maintenance-mode to infrastructure hardening, the current rating will likely decline as connectivity issues persist. - 🔴 Server-side connectivity failures in the latest release prevent label identification, which erodes user trust and drives churn during peak usage times. - 🟢 High user praise for low-light label recognition accuracy suggests the core utility is strong, provided the team can stabilize the backend infrastructure. ## Key Metrics Summary | Metric | Value | | :--- | :--- | | Overall Rating | 4.65/5 | | Total Reviews | 43 | | Sentiment | Thrilled (85/100) | | Confidence | Low | | Pricing Model | Free | | Platforms | iOS | | Key Features | 4 analyzed | | Trend | Mixed | | Outlook | Mixed | ## Competitor Comparison | App | Rating | Sentiment | Developer | | :--- | :--- | :--- | :--- | | **Wine Scanner AI: Remember Wine** (this app) | 4.65/5 | Thrilled | SUPERM | | [Beyond Menu Food Delivery](https://marlvel.ai/apps/beyond-menu-food-delivery) | 4.6/5 | N/A | BeyondMenu | | [Caviar - Order Food Delivery](https://marlvel.ai/apps/caviar-order-food-delivery) | 4.6/5 | n/a | Caviar, Inc. | | [ChowNow: Local Food Ordering](https://marlvel.ai/apps/chownow-local-food-ordering) | 4.7/5 | n/a | ChowNow | | [Dairy Queen® Food & Treats](https://marlvel.ai/apps/dairy-queen-food-treats) | 4.4/5 | n/a | International Dairy Queen, Inc. | | [EatStreet Local Food Delivery](https://marlvel.ai/apps/eatstreet-local-food-delivery) | 4.7/5 | n/a | EatStreet | ## Company Profile - **Developer:** SUPERM ## Data Sources & Links - **App Store:** [View on Apple Store](https://apps.apple.com/us/app/wine-scanner-ai-remember-wine/id6612023259?uo=4) - **Sources:** App store metadata, User reviews. ## Related Intel Reports - [*Beyond Menu Food Delivery*](https://marlvel.ai/apps/beyond-menu-food-delivery) (BeyondMenu) · 4.6/5 Rating - [*Caviar - Order Food Delivery*](https://marlvel.ai/apps/caviar-order-food-delivery) (Caviar, Inc.) · 4.6/5 Rating - [*ChowNow: Local Food Ordering*](https://marlvel.ai/apps/chownow-local-food-ordering) (ChowNow) · 4.7/5 Rating - [*Dairy Queen® Food & Treats*](https://marlvel.ai/apps/dairy-queen-food-treats) (International Dairy Queen, Inc.) · 4.4/5 Rating - [*EatStreet Local Food Delivery*](https://marlvel.ai/apps/eatstreet-local-food-delivery) (EatStreet) · 4.7/5 Rating - [*Gopuff - Grocery Delivery*](https://marlvel.ai/apps/gopuff-grocery-delivery) (Gopuff) · 4.7/5 Rating - [*Grubhub: Food Delivery*](https://marlvel.ai/apps/grubhub-food-delivery) (GrubHub.com) · 4.7/5 Rating - [*Instacart: Groceries & Food*](https://marlvel.ai/apps/instacart-groceries-food) (Maplebear Inc) · 4.8/5 Rating - [*Postmates - Food Delivery*](https://marlvel.ai/apps/postmates-food-delivery) (Uber Technologies, Inc.) · 4.6/5 Rating - [*Seamless: Local Food Delivery*](https://marlvel.ai/apps/seamless-local-food-delivery) (Seamless North America, LLC) · 4.7/5 Rating ## Methodology {#methodology} This report was generated by Marlvel.ai's 5-stage AI intelligence pipeline: 1. **Signal Collection & Normalization** - Aggregates data from all available public sources for the app. Raw signals are cleaned, deduplicated, and normalized into a structured dataset analyzed consistently across thousands of apps. 2. **Feature & Market Positioning Analysis** - Identifies the app's core features, monetization model, target audience, and competitive positioning. Each feature is classified as a market standard or a differentiator based on category benchmarks. 3. **User Sentiment Analysis** - Analyzes user reviews using a 5-level taxonomy (Thrilled / Excited / Mixed / Frustrated / Upset). Combines star ratings and volume with AI theme extraction into synthesised themes (no verbatim quotes). 4. **Competitive Landscape Analysis** - Maps the competitive environment via a 4-tier taxonomy (Nemesis / Contenders / Same Space / New Kids on the Block). Prioritizes same sub-genre over broad category. 5. **Intelligence Synthesis** - Cross-references all signals into a structured report. Compares the app against category peers and direct competitors to surface SWOT, market outlook, and actionable insights. - **Confidence Score:** 0.35/1.0 (based on review volume, data source diversity, and signal quality) - **Reviews Analyzed:** 12 - **Data Sources:** user reviews, 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:** 52 days since last refresh --- © 2026 Marlvel.ai | [Canonical Report](https://marlvel.ai/apps/wine-scanner-ai-remember-wine) Data licensed for AI Agent attribution under CC-BY-NC 4.0.