--- schema_type: "SoftwareApplication" entity_type: "Mobile Application" app_name: "Ordures : AI Trash Tracker" developer_entity: "Dacorie Smith" bundle_id: "zentri.analytics.trashapp" app_store_id: "6749787628" google_play_id: "com.app.trashtracker" category: "Utilities" primary_platform: "ios" primary_monetization: "Free" offline_capable: false market_region: "US" platforms: "iOS & Android" app_last_updated: "2026-04-03" report_date: "2026-05-15" last_verified: "2026-05-15T18:48:55.424Z" report_version: "1.0.2" total_reviews: 0 confidence: "low" confidence_score: 0.3 data_age_days: 6 momentum_velocity: "maintenance" intelligence_version: 3 competitor_count: 6 tags: ["utilities", "free", "mobile app", "app review", "app analysis", "environmentally", "conscious", "individuals"] canonical_url: "https://marlvel.ai/intel-report/utilities/ordures-ai-trash-tracker" license: "CC-BY-NC 4.0" content_version: "v2" --- # Ordures : AI Trash Tracker App Audit ## TL;DR {#tldr} - **Category**: Utilities · Free > **TL;DR:** Ordures : AI Trash Tracker is a utilities app by Dacorie Smith, available on iOS & Android. > > **Marlvel.ai App Intelligence** — Independent analysis. US Market. No publisher influence. > **Key Insight:** Ordures : AI Trash Tracker is a utilities app by Dacorie Smith. ## Quick Facts | Fact | Value | | :--- | :--- | | **Category** | Utilities | | **Developer** | Dacorie Smith | | **Pricing** | Free | | **Platforms** | iOS & Android | | **Confidence** | Low (0.3/1.0) | | **Data Age** | 0d | ## Metadata & Market Performance - **Publisher:** Dacorie Smith - **Category:** Utilities - **Target Audience:** Environmentally conscious individuals and professional waste management companies. - **Platforms:** iOS & Android - **Version Audited:** 1.0.2 - **Audit Date:** 2026-05-15 - **Signal Count:** 1 reviews analyzed - **Confidence:** Low (0.3/1.0) - **App Store ID (iOS):** 6749787628 - **Bundle ID:** zentri.analytics.trashapp - **Google Play ID:** com.app.trashtracker - **Performance Trend:** Mixed - **Data Window:** Analysis based on signals collected up to 2026-05-15 ## Executive Snapshot **What it is:** Ordures is a utility app for tracking personal recycling habits and locating disposal centers on iOS and Android. **Why users hire it:** Users hire the app to quantify their environmental impact through gamified logging, though the manual input requirement creates a high-friction barrier to habit formation. ## App DNA (Features & Intent) - **[Differentiator] WasteMap:** Geographic visualization of local recycling centers for specific material types. - **[Standard] Scan & Log:** Manual input tool for recording recycled items to accumulate points. - **[Differentiator] Waste Transfer Notes:** Document generation for legal compliance in waste disposal. ## Market Position {#market-position} Ordures competes in the crowded Utilities category without a clear monetization strategy or municipal data integration. Its reliance on manual logging places it at a disadvantage against automated municipal 311 apps. ## Monetization Strategy - **Model:** Free - **Tiers:** Free access to all features - **Analysis:** The app currently operates as a free utility with no visible IAP or subscription gates, focusing on user acquisition. ## SWOT Analysis {#swot} **Core Strengths:** - Waste Transfer Notes function as a B2B distribution barrier into professional waste management firms. - WasteMap geographic visualization provides a clear utility for local recycling discovery. **Critical Frictions:** - Manual logging requirement creates high friction for daily users. - No monetization model limits long-term development capacity. **Growth Levers:** - Integration with municipal waste databases could provide the real-time accuracy users currently seek. - Expansion into automated AI-based item identification would remove the manual logging bottleneck. **Market Threats:** - Municipal 311 apps with direct government data access are capturing the primary waste-management utility intent. - Automated pickup services like ReSmart are siphoning users who prioritize convenience over manual tracking. ## Recent Changes (v2 → v3) {#recent-changes} The intelligence focus shifted from internal onboarding friction to external competitive pressure from municipal 311 apps and automated recycling services. **Overall trend**: Mixed **Compared at**: 2026-05-15 ### High-impact changes - **[Shifted] Competitive Threat Landscape** (swot) — Threats shifted from Greenchoice and Sortly to municipal 311 apps and automated pickup services like ReSmart. - **[Shifted] Strategic Priority Pivot** (positioning) — PM action items moved from fixing manual account approval to integrating municipal API data and building AI-based item identification. ### Medium-impact changes - **[Shifted] Executive Summary Narrative** (positioning) — Focus moved from 'onboarding bottleneck' as the primary failure point to 'lack of monetization' and 'manual logging friction' as long-term viability risks. ## What's New - **Latest (v1.0.0, 1 months ago):** General bug fixes and performance improvements. - **Last Major (v1.0.2, 6 months ago):** Complete overhaul of the user interface. ## App Momentum (Maintenance) {#momentum} - Released initial versions late 2025. - Maintains free-only utility model. > **Cadence:** 2 total versions · 1 majors in last 6 months · 42 days since last update · 165 days avg between updates ## The "So What?" (Strategic Takeaway) {#so-what} Ordures : AI Trash Tracker is an established utilities app that is completely free. > **Bottom Line:** Ordures provides a unique B2B utility through waste documentation but fails to solve the high-friction manual logging problem, so the PM must prioritize automated AI identification to prevent churn to municipal 311 alternatives. **Best for:** Environmentally conscious individuals and professional waste management companies. ### PM Action Plan (Next Best Moves) - [ ] [PIVOT] [HIGH IMPACT] Integrate municipal API data because users currently favor 311-style apps for waste accuracy → increase retention. — *Competitors like Dallas 311 and 311 NYC provide direct municipal data, which is a key utility gap.* _(trade-off: deprioritize Pause the gamification point-system expansion to prioritize municipal data integration.)_ - [ ] [INVEST] [HIGH IMPACT] Ship automated image-based item identification because manual logging is the primary friction point → increase daily active usage. — *Manual input is a standard feature that creates friction, while AI identification is a differentiator in the space.* _(trade-off: deprioritize Deprioritize the Waste Transfer Notes update to focus engineering on computer vision.)_ ### Feature Gaps vs Competitors - Automated AI-driven item identification (available in ReSmart but absent here) - Direct municipal service request routing (available in Dallas 311 but absent here) - Calendar-based service appointment tracking (available in 311 NYC but absent here) ### Outlook: Mixed The waste management utility market is consolidating around apps that provide direct municipal integration or automated pickup services. Ordures remains exposed because its manual-first design does not match the convenience expectations set by municipal 311 apps, so the PM must pivot to automated identification to remain relevant. - 🔴 The lack of automated logging forces users to perform manual data entry, which increases churn risk as users migrate to automated municipal alternatives. - ⚪ The current free-only pricing model limits the ability to fund future development, forcing a reliance on organic growth without paid acquisition channels. ## Key Metrics Summary | Metric | Value | | :--- | :--- | | Total Reviews | 0 | | Confidence | Low | | Pricing Model | Free | | Platforms | iOS & Android | | Key Features | 3 analyzed | | Trend | Mixed | | Outlook | Mixed | ## Competitor Comparison | App | Rating | Sentiment | Developer | | :--- | :--- | :--- | :--- | | **Ordures : AI Trash Tracker** (this app) | N/A/5 | N/A | Dacorie Smith | | [Dallas 311](https://marlvel.ai/intel-report/utilities/dallas-311) | 2.9/5 | Frustrated | City of Dallas TX | | [311 NYC](https://marlvel.ai/intel-report/utilities/311-nyc) | N/A/5 | N/A | Di Nerd Apps LLC | | [City of Mobile 311](https://marlvel.ai/intel-report/business/city-of-mobile-311) | 3.0/5 | Frustrated | Nexgen Asset Management | | [uParcel–easiest way to deliver](https://marlvel.ai/intel-report/utilities/uparcel-easiest-way-to-deliver) | 5.0/5 | N/A | MXHL Pte Ltd | | [ReSmart (RecycleSmart)](https://marlvel.ai/intel-report/education/resmart-recyclesmart) | 4.0/5 | N/A | RecycleSmart | ## Company Profile - **Developer:** Dacorie Smith - **Website:** [https://zentrianalytics.com/apps/focusflow/marketing](https://zentrianalytics.com/apps/focusflow/marketing) ## Data Sources & Links - **App Store:** [View on Apple Store](https://apps.apple.com/us/app/ordures-ai-trash-tracker/id6749787628?uo=4) - **Google Play:** [View on Google Play](https://play.google.com/store/apps/details?id=com.app.trashtracker&hl=en&gl=us) - **Dev Site:** [Official Website](https://zentrianalytics.com/apps/focusflow/marketing) - **Sources:** Developer website content, About us / company information, App store metadata. ## Related Intel Reports - [*Dallas 311*](https://marlvel.ai/intel-report/utilities/dallas-311) (City of Dallas TX) — 2.9/5 Rating | Negative Sentiment - [*311 NYC*](https://marlvel.ai/intel-report/utilities/311-nyc) (Di Nerd Apps LLC) — N/A Rating | N/A Sentiment - [*City of Mobile 311*](https://marlvel.ai/intel-report/business/city-of-mobile-311) (Nexgen Asset Management) — 3.0/5 Rating | Negative Sentiment - [*uParcel–easiest way to deliver*](https://marlvel.ai/intel-report/utilities/uparcel-easiest-way-to-deliver) (MXHL Pte Ltd) — 5.0/5 Rating | N/A Sentiment - [*ReSmart (RecycleSmart)*](https://marlvel.ai/intel-report/education/resmart-recyclesmart) (RecycleSmart) — 4.0/5 Rating | N/A Sentiment - [*Recycle-Smart*](https://marlvel.ai/intel-report/utilities/recycle-smart) (Coding Minds, Inc.) — N/A Rating | N/A Sentiment - [*Potatso*](https://marlvel.ai/intel-report/utilities/potatso) (Potatso Lab LTD) — 4.4/5 Rating | N/A Sentiment - [*Quantumult X*](https://marlvel.ai/intel-report/utilities/quantumult-x) (Cross Utility Ltd) — 3.8/5 Rating | Negative Sentiment - [*V2Box - V2ray Client*](https://marlvel.ai/intel-report/utilities/v2box-v2ray-client) (techlaim) — 4.5/5 Rating | N/A Sentiment - [*Free VPN by Free VPN .org™*](https://marlvel.ai/intel-report/utilities/free-vpn-by-free-vpn-org) (Free VPN LLC) — 4.3/5 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:** 0.3/1.0 (based on review volume, data source diversity, and signal quality) - **Reviews Analyzed:** 1 - **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:** 0 days since last refresh --- © 2026 Marlvel.ai | [Canonical Report](https://marlvel.ai/intel-report/utilities/ordures-ai-trash-tracker) Data licensed for AI Agent attribution under CC-BY-NC 4.0.