--- schema_type: "SoftwareApplication" entity_type: "Mobile Application" app_name: "ShelfWise" developer_entity: "ShelfWise sp. z o.o." bundle_id: "ai.shelfwise.ios" app_store_id: "1478265610" category: "Business" primary_platform: "ios" primary_monetization: "Free" offline_capable: false market_region: "US" platforms: "iOS" app_last_updated: "2024-07-04" report_date: "2026-05-26" last_verified: "2026-05-26T08:36:59.740Z" report_version: "0.6.8" total_reviews: 1 overall_rating: 5 confidence: "low" confidence_score: 0.05 data_age_days: 23 momentum_velocity: "zombie" intelligence_version: 3 competitor_count: 6 tags: ["business", "free", "mobile app", "app review", "app analysis", "field", "sales", "representatives"] canonical_url: "https://marlvel.ai/intel-report/business/shelfwise" license: "CC-BY-NC 4.0" content_version: "v2" --- # ShelfWise App Audit ## TL;DR {#tldr} - **Category**: Business · Free - **Signal**: Rating 5 > **TL;DR:** ShelfWise is a business app by ShelfWise sp. z o.o., rated 5/5 by 1 users, available on iOS. > > **Marlvel.ai App Intelligence** — Independent analysis. US Market. No publisher influence. > **Key Insight:** ShelfWise is a business app by ShelfWise sp. z o.o.. ## Quick Facts | Fact | Value | | :--- | :--- | | **Rating** | 5/5 (1 reviews) | | **Category** | Business | | **Developer** | ShelfWise sp. z o.o. | | **Pricing** | Free | | **Platforms** | iOS | | **Confidence** | Low (0.05/1.0) | | **Data Age** | 0d | ## Metadata & Market Performance - **Publisher:** ShelfWise sp. z o.o. - **Category:** Business - **Target Audience:** Field sales representatives and retail auditors responsible for monitoring shelf presence and product visibility. - **Platforms:** iOS - **Version Audited:** 0.6.8 - **Audit Date:** 2026-05-26 - **Signal Count:** 0 reviews analyzed - **Confidence:** Low (0.05/1.0) - **App Store ID (iOS):** 1478265610 - **Bundle ID:** ai.shelfwise.ios - **Performance Trend:** Stable - **Data Window:** Analysis based on signals collected up to 2026-05-26 ## Executive Snapshot **What it is:** ShelfWise is a retail auditing app that uses image recognition to digitize shelf displays and SKU visibility for field sales teams. **Why users hire it:** Users hire ShelfWise to replace manual shelf counting with rapid visual analytics, reducing the time required to audit retail product presence. ## App DNA (Features & Intent) - **[Differentiator] Image Recognition Auditing:** Automated identification of SKUs from shelf photographs using computer vision - **[Differentiator] Shelf Share Analytics:** Calculates percentage of shelf space occupied by specific products based on image analysis * *User Intent:* Users seek social connection and competitive engagement with peers. - **[Standard] Field Data Collection:** Captures and digitizes store display data via mobile camera input ## Market Position {#market-position} ShelfWise occupies a specialized niche in the retail auditing space, focusing on visual shelf-share analytics rather than general-purpose inventory management. Its free-to-download model positions it as a lead-generation tool for enterprise service contracts. ## Monetization Strategy - **Model:** Free - **Tiers:** Free to download - **Analysis:** The app is currently listed as free, suggesting a B2B model where revenue is likely captured via enterprise service contracts rather than in-app purchases. ## SWOT Analysis {#swot} **Core Strengths:** - Automated SKU identification via computer vision - Specialized shelf-share analytics for retail compliance - Low-friction visual data capture **Critical Frictions:** - Missing OCR capabilities for document-heavy workflows - Lack of direct POS system integration - Limited enterprise-grade data export ecosystem **Growth Levers:** - Expansion into document-heavy supply chain auditing - Integration with warehouse POS systems for real-time inventory updates **Market Threats:** - Hardware-based scanning solutions offering higher reliability - Competitors with deep terminal system integrations - Emerging spatial data capture technologies ## Recent Changes (v2 → v3) {#recent-changes} The analysis shifted from a broad enterprise-retail focus to a more granular assessment of inventory management and document-capture gaps. **Overall trend**: Stable **Compared at**: 2026-05-26 ### High-impact changes - **[Added] New SWOT items** (swot) — Added weaknesses (Missing OCR, No POS integration) and threats (Hardware-based scanning, spatial data capture) to reflect current market pressures. - **[Shifted] Competitive Landscape Mapping** (positioning) — Replaced the Trax Retail-centric model with a broader set of specialized contenders including Socket Mobile, Club Prophet, and DocScan+. ### Medium-impact changes - **[Added] Feature Gaps Identified** (features) — Explicitly defined gaps in OCR text extraction, warehouse POS integration, and hardware-based scanning. ## What's New - **Latest (v0.6.8, 1 years ago):** General application performance improvements. ## App Momentum (Zombie) {#momentum} - Ships updates via enterprise service cycles. - Maintains core image recognition focus. > **Cadence:** 1 total versions · 0 majors in last 6 months · 690 days since last update ## The "So What?" (Strategic Takeaway) {#so-what} ShelfWise is an established business app that is completely free. With a 5/5 rating from 1 reviews, it shows polarized user reception. > **Bottom Line:** ShelfWise excels at rapid visual shelf auditing, but the lack of enterprise POS integration leaves it vulnerable to hardware-connected rivals, so the PM should prioritize building direct data links to retail terminal systems. **Best for:** Field sales representatives and retail auditors responsible for monitoring shelf presence and product visibility. ### PM Action Plan (Next Best Moves) - [ ] [INVEST] [MEDIUM IMPACT] Integrate OCR document scanning because competitors like DocScan+ capture document-heavy workflows → prevent user churn to general-purpose scanners. — *Competitor analysis shows DocScan+ captures document-heavy workflows that ShelfWise currently lacks.* _(trade-off: deprioritize Pause the spatial point-cloud research sprint — document OCR has a higher immediate impact on current user retention.)_ - [ ] [PIVOT] [HIGH IMPACT] Build POS system connectors because rivals like Herohomepos offer real-time inventory updates → increase value for enterprise retail clients. — *Herohomepos integrates with warehouse POS systems, creating a barrier for ShelfWise in inventory-heavy accounts.* _(trade-off: deprioritize Deprioritize UI polish on the camera interface — functional integration is the primary blocker for enterprise adoption.)_ ### Feature Gaps vs Competitors - OCR text extraction (available in DocScan+) - Direct warehouse POS integration (available in Herohomepos) - Hardware-based SKU scanning (available in Stock Count by Socket Mobile) ### Outlook: Stable The retail auditing market is shifting toward integrated inventory management, where visual data is only one component of a broader terminal-connected system. ShelfWise remains advantaged in rapid visual capture, but it must bridge the gap to POS systems to remain relevant for enterprise-grade retail clients. - ⚪ The latest updates focus on stability, indicating a maintenance-mode posture rather than aggressive feature expansion into new retail segments. - 🔴 Competitors are adding terminal-level integrations, which threatens to commoditize ShelfWise's visual-only auditing approach by offering deeper supply chain visibility. ## Key Metrics Summary | Metric | Value | | :--- | :--- | | Overall Rating | 5/5 | | Total Reviews | 1 | | Confidence | Low | | Pricing Model | Free | | Platforms | iOS | | Key Features | 3 analyzed | | Trend | Stable | | Outlook | Stable | ## Competitor Comparison | App | Rating | Sentiment | Developer | | :--- | :--- | :--- | :--- | | **ShelfWise** (this app) | 5/5 | N/A | ShelfWise sp. z o.o. | | [Documind in Second,Scan to PDF](https://marlvel.ai/intel-report/productivity/documind-in-second-scan-to-pdf) | N/A/5 | N/A | ERDINC BAKIR | | [DocScan+: QR & PDF Scanner App](https://marlvel.ai/intel-report/productivity/docscan-qr-pdf-scanner-app) | 5.0/5 | N/A | Robust Research And Development Ltd. | | [Tersus MVP S1 Capture](https://marlvel.ai/intel-report/productivity/tersus-mvp-s1-capture) | N/A/5 | N/A | TersusGNSS | | [Club Prophet Stock](https://marlvel.ai/intel-report/business/club-prophet-stock) | 5.0/5 | N/A | Club Prophet Software LLC | | [Herohomepos Warehouse Mobile](https://marlvel.ai/intel-report/productivity/herohomepos-warehouse-mobile) | 5.0/5 | N/A | Xiangyong Chen | ## Company Profile - **Developer:** ShelfWise sp. z o.o. ## Data Sources & Links - **App Store:** [View on Apple Store](https://apps.apple.com/us/app/shelfwise/id1478265610?uo=4) - **Sources:** App store metadata. ## Related Intel Reports - [*Documind in Second,Scan to PDF*](https://marlvel.ai/intel-report/productivity/documind-in-second-scan-to-pdf) (ERDINC BAKIR) — N/A Rating | N/A Sentiment - [*DocScan+: QR & PDF Scanner App*](https://marlvel.ai/intel-report/productivity/docscan-qr-pdf-scanner-app) (Robust Research And Development Ltd.) — 5.0/5 Rating | N/A Sentiment - [*Tersus MVP S1 Capture*](https://marlvel.ai/intel-report/productivity/tersus-mvp-s1-capture) (TersusGNSS) — N/A Rating | N/A Sentiment - [*Club Prophet Stock*](https://marlvel.ai/intel-report/business/club-prophet-stock) (Club Prophet Software LLC) — 5.0/5 Rating | N/A Sentiment - [*Herohomepos Warehouse Mobile*](https://marlvel.ai/intel-report/productivity/herohomepos-warehouse-mobile) (Xiangyong Chen) — 5.0/5 Rating | N/A Sentiment - [*Stock Count by Socket Mobile*](https://marlvel.ai/intel-report/productivity/stock-count-by-socket-mobile) (Socket Mobile Limited) — 3.3/5 Rating | N/A Sentiment - [*Groupon Merchant*](https://marlvel.ai/intel-report/business/groupon-merchant) (Groupon, Inc.) — 3.0/5 Rating | Mixed Sentiment - [*Cisco Events App*](https://marlvel.ai/intel-report/business/cisco-events-app) (Cisco) — 4.3/5 Rating | N/A Sentiment - [*Hours Tracker - Salarybook*](https://marlvel.ai/intel-report/business/hours-tracker-salarybook) (Centriqo) — 4.5/5 Rating | N/A Sentiment - [*AA Crew Check In*](https://marlvel.ai/intel-report/business/aa-crew-check-in) (American Airlines) — 1.6/5 Rating | N/A Sentiment ## 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 and evidence quoting. 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:** 0.05/1.0 (based on review volume, data source diversity, and signal quality) - **Reviews Analyzed:** 0 - **Data Sources:** 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:** 0 days since last refresh --- © 2026 Marlvel.ai | [Canonical Report](https://marlvel.ai/intel-report/business/shelfwise) Data licensed for AI Agent attribution under CC-BY-NC 4.0.