--- schema_type: "SoftwareApplication" entity_type: "Mobile Application" app_name: "Foodles" developer_entity: "Foodles" bundle_id: "com.foodles.customerapp.v3" app_store_id: "1460002316" google_play_id: "co.foodles.customerapp.v2" category: "Food & Drink" primary_platform: "ios" primary_monetization: "Free" offline_capable: false market_region: "US" platforms: "iOS & Android" app_last_updated: "2026-04-16" report_date: "2026-05-19" last_verified: "2026-05-19T19:47:03.849Z" report_version: "5.5.0" total_reviews: 1015 overall_rating: 4.66 confidence: "low" confidence_score: 0.05 data_age_days: 43 momentum_velocity: "active" intelligence_version: 2 tags: ["food & drink", "free", "mobile app", "app review", "app analysis", "corporate", "employees", "seeking"] canonical_url: "https://marlvel.ai/intel-report/food-drink/com-foodles-customerapp-v3" license: "CC-BY-NC 4.0" content_version: "v2" --- # Foodles App Audit ## TL;DR {#tldr} - **Category**: Food & Drink · Free - **Signal**: Rating 4.66 > **TL;DR:** Foodles is a food & drink app by Foodles, rated 4.66/5 by 1K users, available on iOS & Android. > > **Marlvel.ai App Intelligence** — Independent analysis. US Market. No publisher influence. > **Key Insight:** Foodles is a food & drink app by Foodles. ## Quick Facts | Fact | Value | | :--- | :--- | | **Rating** | 4.66/5 (1K reviews) | | **Category** | Food & Drink | | **Developer** | Foodles | | **Pricing** | Free | | **Platforms** | iOS & Android | | **Confidence** | Low (0.05/1.0) | | **Data Age** | 0d | ## Metadata & Market Performance - **Publisher:** Foodles - **Category:** Food & Drink - **Target Audience:** Corporate employees seeking convenient, high-quality lunch options within their workplace. - **Platforms:** iOS & Android - **Version Audited:** 5.5.0 - **Audit Date:** 2026-05-19 - **Signal Count:** 0 reviews analyzed - **Confidence:** Low (0.05/1.0) - **App Store ID (iOS):** 1460002316 - **Bundle ID:** com.foodles.customerapp.v3 - **Google Play ID:** co.foodles.customerapp.v2 - **Data Window:** Analysis based on signals collected up to 2026-05-19 ## Executive Snapshot Foodles is a corporate catering solution that provides employees with access to smart fridges stocked with fresh, seasonal, and homemade meals. The app facilitates the entire lunch experience, from account management and payment to unlocking the physical fridge units via QR code. ## App DNA (Features & Intent) - **[Standard] Smart Fridge Access:** Users unlock company-installed smart fridges by scanning a QR code generated within the app. * *User Intent:* Users expect intelligent, adaptive experiences that learn from their behavior. - **[Standard] Automated Payments:** The app automatically deducts the cost of selected items from the user's pre-loaded account balance. - **[Standard] Account Management:** Users can create accounts using professional email addresses and top-up their balance via bank card. * *User Intent:* Users seek enhanced value through premium features. ## Monetization Strategy - **Model:** Free ## App Momentum (Active) {#momentum} Last updated 33d ago. 5 versions tracked. > **Cadence:** 5 total versions · 0 majors in last 6 months · 33 days since last update ## The "So What?" (Strategic Takeaway) {#so-what} Foodles is an established food & drink app that is completely free. With a 4.66/5 rating from 1K reviews, it shows polarized user reception. > **Bottom Line:** Foodles streamlines office dining by integrating a mobile payment and access interface with on-site, automated food storage. **Best for:** Corporate employees seeking convenient, high-quality lunch options within their workplace. ## Key Metrics Summary | Metric | Value | | :--- | :--- | | Overall Rating | 4.66/5 | | Total Reviews | 1K | | Confidence | Low | | Pricing Model | Free | | Platforms | iOS & Android | | Key Features | 3 analyzed | ## Competitor Comparison | App | Rating | Sentiment | Developer | | :--- | :--- | :--- | :--- | | **Foodles** (this app) | 4.66/5 | N/A | Foodles | | [Grubhub: Food Delivery](https://marlvel.ai/intel-report/food-drink/grubhub-food-delivery) | 4.7/5 | Upset | GrubHub.com | | [Seamless: Local Food Delivery](https://marlvel.ai/intel-report/food-drink/seamless-local-food-delivery) | 4.7/5 | Frustrated | Seamless North America, LLC | | [Instacart: Groceries & Food](https://marlvel.ai/intel-report/food-drink/instacart-groceries-food) | 4.8/5 | Excited | Maplebear Inc | | [Postmates - Food Delivery](https://marlvel.ai/intel-report/food-drink/postmates-food-delivery) | 4.6/5 | Excited | 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. | ## Company Profile - **Developer:** Foodles - **Website:** [https://www.foodles.co/](https://www.foodles.co/) ## Data Sources & Links - **App Store:** [View on Apple Store](https://apps.apple.com/fr/app/foodles/id1460002316?uo=2) - **Google Play:** [View on Google Play](https://play.google.com/store/apps/details?id=co.foodles.customerapp.v2&hl=en&gl=fr) - **Dev Site:** [Official Website](https://www.foodles.co/) - **Sources:** App store metadata. ## Related Intel Reports - [*Grubhub: Food Delivery*](https://marlvel.ai/intel-report/food-drink/grubhub-food-delivery) (GrubHub.com) — 4.7/5 Rating | Terrible Sentiment - [*Seamless: Local Food Delivery*](https://marlvel.ai/intel-report/food-drink/seamless-local-food-delivery) (Seamless North America, LLC) — 4.7/5 Rating | Negative Sentiment - [*Instacart: Groceries & Food*](https://marlvel.ai/intel-report/food-drink/instacart-groceries-food) (Maplebear Inc) — 4.8/5 Rating | Positive Sentiment - [*Postmates - Food Delivery*](https://marlvel.ai/intel-report/food-drink/postmates-food-delivery) (Uber Technologies, Inc.) — 4.6/5 Rating | Positive 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 - [*Gopuff - Grocery Delivery*](https://marlvel.ai/intel-report/food-drink/gopuff-grocery-delivery) (Gopuff) — 4.7/5 Rating | Mixed Sentiment - [*EatStreet Local Food Delivery*](https://marlvel.ai/intel-report/food-drink/eatstreet-local-food-delivery) (EatStreet) — 4.7/5 Rating | N/A Sentiment - [*ChowNow: Local Food Ordering*](https://marlvel.ai/intel-report/food-drink/chownow-local-food-ordering) (ChowNow) — 4.7/5 Rating | N/A Sentiment - [*Beyond Menu Food Delivery*](https://marlvel.ai/intel-report/food-drink/beyond-menu-food-delivery) (BeyondMenu) — 4.6/5 Rating | Excellent 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 | Mixed 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/food-drink/com-foodles-customerapp-v3) Data licensed for AI Agent attribution under CC-BY-NC 4.0.