--- schema_type: "SoftwareApplication" entity_type: "Mobile Application" app_name: "ShelfScan: AI Food Scanner" developer_entity: "Abdussamed SAHIN" bundle_id: "app.shelfscan.ios" app_store_id: "6739948200" category: "Health & Fitness" primary_platform: "ios" primary_monetization: "Free" offline_capable: false market_region: "US" platforms: "iOS" app_last_updated: "2025-12-13" report_date: "2026-10-02" last_verified: "2026-10-02T00:00:00.000Z" report_version: "1.1.0" total_reviews: 0 confidence: "low" confidence_score: 0.3 data_age_days: 27 momentum_velocity: "zombie" intelligence_version: 2 tags: ["health & fitness", "free", "mobile app", "app review", "app analysis", "individuals", "managing", "specific"] canonical_url: "https://marlvel.ai/apps/shelfscan-ai-food-scanner" license: "CC-BY-NC 4.0" content_version: "v2" --- ## ⚠ Content Warning This report covers topics classified as sensitive (health). Information is aggregated from public sources for informational purposes only. This is not medical advice. Consult a qualified professional before acting on any information here. --- # ShelfScan: AI Food Scanner Intelligence Report ## TL;DR {#tldr} - **Category**: Health & Fitness · Free > **TL;DR:** ShelfScan: AI Food Scanner is a health & fitness app by Abdussamed SAHIN, available on iOS. > > **Marlvel.ai App Intelligence** - Independent analysis. US Market. No publisher influence. > **Key Insight:** ShelfScan: AI Food Scanner is a health & fitness app by Abdussamed SAHIN. ## Quick Facts | Fact | Value | | :--- | :--- | | **Category** | Health & Fitness | | **Developer** | Abdussamed SAHIN | | **Pricing** | Free | | **Platforms** | iOS | | **Confidence** | Low (0.3/1.0) | | **Data Age** | 27d | ## Metadata & Market Performance - **Publisher:** Abdussamed SAHIN - **Category:** Health & Fitness - **Target Audience:** Individuals managing specific dietary needs or health goals who require quick nutritional verification while shopping or eating. - **Platforms:** iOS - **Version Reviewed:** 1.1.0 - **Report Date:** 2026-10-02 - **Signal Count:** 0 reviews analyzed - **Confidence:** Low (0.3/1.0) - **App Store ID (iOS):** 6739948200 - **Bundle ID:** app.shelfscan.ios - **Data Window:** Analysis based on signals collected up to 2026-10-02 ## Executive Snapshot **What it is:** ShelfScan: AI Food Scanner is a mobile utility that uses camera-based AI to analyze food labels and nutritional content for iOS users. **Why users hire it:** The app removes the time-consuming friction of manually scanning ingredient lists for allergens or specific dietary restrictions like halal or gluten-free. ## App DNA (Features & Intent) - **[Differentiator] AI Camera Analysis:** Analyzes food items via photo to provide calorie and nutrition breakdowns * *User Intent:* Users seek enhanced value through premium features. - **[Differentiator] Smart Ingredient Scanner:** Checks food labels for allergens, additives, and dietary suitability * *User Intent:* Users expect intelligent, adaptive experiences that learn from their behavior. - **[Differentiator] No-Account Access:** Allows immediate scanning without sign-up or friction ## Market Position {#market-position} ShelfScan: AI Food Scanner operates in the Health & Fitness category with zero public ratings. The lack of a user base or recent development activity indicates the app has not yet established a foothold in the competitive nutritional-scanner market. ## Monetization Strategy - **Model:** Free - **Tiers:** Free access to all scanning features - **Analysis:** The app operates as a free tool with no visible subscription or IAP gates, limiting its long-term revenue potential. ## SWOT Analysis {#swot} **Core Strengths:** - No-account access lowers top-of-funnel friction **Growth Levers:** - Database integration could improve recognition accuracy ## What's New - **Latest (v1.1.0, 9 months ago):** Introduced a personalized onboarding flow allowing users to define health goals and specify allergies. ## App Momentum (Zombie) {#momentum} - No updates for nine months. - Zero public ratings recorded. > **Cadence:** 1 total versions · 1 majors in last 6 months · 293 days since last update ## The "So What?" (Strategic Takeaway) {#so-what} ShelfScan: AI Food Scanner is a health & fitness app that is completely free. > **Bottom Line:** ShelfScan: AI Food Scanner offers a low-friction entry for dietary verification, but the nine-month development silence threatens its viability. A pivot toward database-backed accuracy is necessary to differentiate from larger, more active health-tracking platforms. **Best for:** Individuals managing specific dietary needs or health goals who require quick nutritional verification while shopping or eating. ### PM Action Plan (Next Best Moves) - [ ] [INVEST] Audit database accuracy because current recognition relies on static AI models → improve trust ### Outlook: Declining The nutritional-scanner market is consolidating around apps that offer integrated health-tracking ecosystems rather than standalone label readers. ShelfScan: AI Food Scanner remains exposed due to its lack of development velocity and absence of a user-retention loop, which will likely result in continued obscurity. - 🔴 The nine-month development gap suggests the app is in maintenance mode, which will lead to user churn as competition iterates faster. - 🔴 Lack of public ratings or user feedback prevents the iteration required to achieve product-market fit in a crowded health-utility space. ## Key Metrics Summary | Metric | Value | | :--- | :--- | | Total Reviews | 0 | | Confidence | Low | | Pricing Model | Free | | Platforms | iOS | | Key Features | 3 analyzed | | Outlook | Declining | ## Competitor Comparison | App | Rating | Sentiment | Developer | | :--- | :--- | :--- | :--- | | **ShelfScan: AI Food Scanner** (this app) | N/A/5 | N/A | Abdussamed SAHIN | | [Mind - Méditations guidées](https://marlvel.ai/apps/mind-m-ditations-guid-es) | 4.6/5 | Excited | MIND AND CIE | | [evolum - Meditation & Yoga](https://marlvel.ai/apps/evolum-meditation-yoga) | 4.7/5 | Excited | Rodger Studio (Apps) | | [FAMHLTH: Family Health Tracker](https://marlvel.ai/apps/famhlth-family-health-tracker) | N/A/5 | N/A | Quinton Nixon | | [GoTall - Height Predictor](https://marlvel.ai/apps/gotall-height-predictor) | 4.7/5 | Mixed | Grow Labs LLC | | [Lunara: Cycle, Symptom Tracker](https://marlvel.ai/apps/lunara-cycle-symptom-tracker) | N/A/5 | N/A | Fuzhou Jiku Technology Co., Ltd. | ## Company Profile - **Developer:** Abdussamed SAHIN - **Website:** [https://shelfscan.app](https://shelfscan.app) ## Data Sources & Links - **App Store ID:** 6739948200 - **Dev Site:** [Official Website](https://shelfscan.app) - **Sources:** Developer website content, About us / company information, App store metadata. ## Related Intel Reports - [*Mind - Méditations guidées*](https://marlvel.ai/apps/mind-m-ditations-guid-es) (MIND AND CIE) · 4.6/5 Rating | Positive Sentiment - [*evolum - Meditation & Yoga*](https://marlvel.ai/apps/evolum-meditation-yoga) (Rodger Studio (Apps)) · 4.7/5 Rating | Positive Sentiment - [*FAMHLTH: Family Health Tracker*](https://marlvel.ai/apps/famhlth-family-health-tracker) (Quinton Nixon) · N/A Rating - [*GoTall - Height Predictor*](https://marlvel.ai/apps/gotall-height-predictor) (Grow Labs LLC) · 4.7/5 Rating - [*Lunara: Cycle, Symptom Tracker*](https://marlvel.ai/apps/lunara-cycle-symptom-tracker) (Fuzhou Jiku Technology Co., Ltd.) · N/A Rating - [*Ovulation Predictor*](https://marlvel.ai/apps/ovulation-predictor) (RAHI PATEL) · 1.0/5 Rating - [*SpeechPacer*](https://marlvel.ai/apps/speechpacer) (Felix Thron) · 1.0/5 Rating - [*Taller AI: Height Maximizer*](https://marlvel.ai/apps/taller-ai-height-maximizer) (Leadimize) · 4.7/5 Rating | Positive Sentiment - [*나만의 짐, 나만의 운동공간이 필요할 때*](https://marlvel.ai/apps/this-is-a-web-service-that-allows-you-to-reserve-a) (lvher) · N/A Rating - [*하이타이 - 최저가 마사지, 스웨디시, 타이마사지 할인*](https://marlvel.ai/apps/kr-co-apptube-hitai2) (앱튜브(AppTube)) · 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:** 0.3/1.0 (based on review volume, data source diversity, and signal quality) - **Reviews Analyzed:** 0 - **Data Sources:** developer website, company about page, 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:** 27 days since last refresh --- © 2026 Marlvel.ai | [Canonical Report](https://marlvel.ai/apps/shelfscan-ai-food-scanner) Data licensed for AI Agent attribution under CC-BY-NC 4.0.