--- schema_type: "SoftwareApplication" entity_type: "Mobile Application" app_name: "Jídlo z Vejmrdy" developer_entity: "speedlo s.r.o." bundle_id: "cz.speedlo.jidlozvejmrdy" app_store_id: "6743755944" category: "Food & Drink" primary_platform: "ios" primary_monetization: "Free" offline_capable: false market_region: "US" platforms: "iOS" app_last_updated: "2025-12-12" report_date: "2026-05-22" last_verified: "2026-05-22T13:10:29.422Z" report_version: "1.0" total_reviews: 0 confidence: "low" confidence_score: 0.05 data_age_days: 55 momentum_velocity: "zombie" intelligence_version: 4 nemesis: "Uber Eats: Food & Groceries" competitor_count: 11 tags: ["food & drink", "free", "mobile app", "app review", "app analysis", "local", "customers", "seeking"] canonical_url: "https://marlvel.ai/apps/jidlo-z-vejmrdy" license: "CC-BY-NC 4.0" content_version: "v2" --- # Jídlo z Vejmrdy App Audit ## TL;DR {#tldr} - **Category**: Food & Drink · Free > **TL;DR:** Jídlo z Vejmrdy is a food & drink app by speedlo s.r.o., available on iOS. > > **Marlvel.ai App Intelligence** — Independent analysis. US Market. No publisher influence. > **Key Insight:** Jídlo z Vejmrdy is a food & drink app by speedlo s.r.o.. ## Quick Facts | Fact | Value | | :--- | :--- | | **Category** | Food & Drink | | **Developer** | speedlo s.r.o. | | **Pricing** | Free | | **Platforms** | iOS | | **Confidence** | Low (0.05/1.0) | | **Data Age** | 55d | ## Metadata & Market Performance - **Publisher:** speedlo s.r.o. - **Category:** Food & Drink - **Target Audience:** Local customers seeking a direct method to order food for delivery from the restaurant. - **Platforms:** iOS - **Version Audited:** 1.0 - **Audit Date:** 2026-05-22 - **Signal Count:** 0 reviews analyzed - **Confidence:** Low (0.05/1.0) - **App Store ID (iOS):** 6743755944 - **Bundle ID:** cz.speedlo.jidlozvejmrdy - **Performance Trend:** Stable - **Data Window:** Analysis based on signals collected up to 2026-05-22 ## Executive Snapshot **What it is:** Jídlo z Vejmrdy is a restaurant-specific food delivery ordering app for local customers on iOS. **Why users hire it:** It serves the need for direct-to-consumer ordering, allowing restaurants to bypass third-party commission fees while maintaining full control over customer data. ## App DNA (Features & Intent) - **[Standard] Digital Menu Access:** Displays the complete delivery menu within the application interface. - **[Standard] Delivery Location Selector:** Allows users to define and select specific delivery zones for order fulfillment. - **[Standard] Promotional Notifications:** Provides information regarding current restaurant promotions and special offers. * *User Intent:* Users want timely prompts to stay engaged without missing updates. ## Market Position {#market-position} The app serves as a niche, restaurant-specific ordering tool on iOS. Its lack of third-party integration signals a focus on margin retention over broad market reach. ## Monetization Strategy - **Model:** Free - **Tiers:** Free application with no stated in-app purchases - **Analysis:** The application functions as a direct-to-consumer ordering channel for the restaurant, monetizing through food sales rather than digital subscriptions or ad inventory. ## SWOT Analysis {#swot} **Core Strengths:** - Direct ownership of customer data enables personalized marketing without third-party commission leakage **Critical Frictions:** - Manual delivery zone management limits scalability compared to automated logistics providers **Growth Levers:** - Loyalty program integration could incentivize repeat orders directly within the restaurant's own digital interface **Market Threats:** - Aggregator market dominance siphons casual users who prioritize platform-wide convenience over brand-specific loyalty ## Recent Changes (v3 → v4) {#recent-changes} The competitive landscape was updated to prioritize Uber Eats as the primary nemesis, and the SWOT analysis was refined to highlight the trade-off between data ownership and manual logistics. **Overall trend**: Stable **Compared at**: 2026-05-22 ### High-impact changes - **[Shifted] Primary Nemesis Update** (positioning) — Primary competitor shifted from Bolt Food to Uber Eats, reflecting a broader focus on global delivery incumbents. ### Medium-impact changes - **[Shifted] SWOT Refinement** (swot) — Strengths and weaknesses were re-articulated to contrast direct customer data ownership against the scalability limitations of manual delivery zones. - **[Added] Expanded Feature Gaps** (features) — Added missing functionality for table reservations and cash-on-delivery support, benchmarked against Konnichiwa Sushi and Get Eazy. ## Rivals Landscape {#rivals} > Competitive positioning identified by AI analysis of app features, category, and market signals. ### Jídlo z Vejmrdy vs Uber Eats: Food & Groceries — Head to Head - **[Uber Eats: Food & Groceries](https://marlvel.ai/apps/uber-eats-food-groceries)** by Uber Technologies, Inc.: Uber Eats is the primary market incumbent that dominates the food delivery space, directly competing for the same user base looking for convenient, on-demand meal ordering. - **Key differences:** - Massive multi-category marketplace provides users with grocery and convenience options beyond just restaurant food delivery. - Uber One subscription creates high switching costs through integrated cross-platform discounts and priority delivery benefits. - Advanced real-time tracking infrastructure offers superior transparency and reliability compared to localized, manual delivery solutions. - **Where Jídlo z Vejmrdy wins:** - ✅ Lower overhead costs allow for potentially more competitive pricing on individual menu items. - ✅ Direct relationship with the restaurant brand fosters a more personalized and loyal customer experience. - **Where Uber Eats: Food & Groceries wins:** - ❌ Unmatched logistics network ensures faster delivery times and higher reliability across all service areas. - ❌ Global brand recognition and massive marketing budget drive significantly higher user acquisition and retention. - **Verdict:** The target should focus on hyper-local community engagement and exclusive loyalty perks that a global aggregator cannot replicate. ### Contenders (Strong Challengers) - **[Caviar - Order Food Delivery](https://marlvel.ai/apps/caviar-order-food-delivery)** by Caviar, Inc.: Caviar competes for the premium segment of the food delivery market, focusing on exclusive restaurant partnerships and high-end service. - Exclusive restaurant partnerships provide access to high-end dining options unavailable on standard, mass-market delivery platforms. - DashPass integration leverages a massive existing user base to drive cross-platform adoption and recurring order volume. - **[ChowNow: Local Food Ordering](https://marlvel.ai/apps/chownow-local-food-ordering)** by ChowNow: ChowNow competes by positioning itself as a commission-free alternative for local restaurants, directly challenging the target's business model. - Commission-free ordering model allows restaurants to maintain higher margins while keeping menu prices competitive for users. - 24/7 human support provides a premium service layer that builds trust and resolves issues faster than automated bots. - **[Radoo: Delivery Local](https://marlvel.ai/apps/app-radoo-radooapp)** by Radware Labs: Radoo targets the same local food ordering demographic but differentiates through an ethical and eco-conscious operational model. - Ethical labor model appeals to socially conscious consumers who prioritize fair treatment of delivery personnel. - Eco-friendly logistics branding provides a distinct marketing angle that differentiates from standard, high-emission delivery services. - **[Get Eazy](https://marlvel.ai/apps/get-eazy)** by Localites Private Limited: Get Eazy competes by offering a similar local marketplace model with integrated wallet features and multi-category delivery capabilities. - Integrated in-app wallet system simplifies repeat transactions and encourages higher platform stickiness for frequent users. - Cash on delivery support captures unbanked segments that the target app may currently be ignoring. ### Peers (What They Do Better) - **[Konnichiwa Sushi](https://marlvel.ai/apps/com-krokodiili-konnichiwa)** by koodikroko: This app functions as a restaurant-specific portal that combines ordering with broader hospitality features like table reservations. - Integrated table reservation system bridges the gap between in-person dining and remote takeaway ordering experiences. - Token-based collection system gamifies the ordering process to encourage consistent engagement with the restaurant brand. - **[El Taller](https://marlvel.ai/apps/el-taller)** by Orionsoft SpA: El Taller is a direct peer in the restaurant-specific ordering space, focusing on specialized dietary needs. - Specialized dietary menu filtering allows users with allergies or restrictions to order with significantly higher confidence. - Direct ordering system removes third-party friction, ensuring the restaurant retains full control over the customer data. - **[Tare: Ingredient Converter](https://marlvel.ai/apps/com-kitchenconverterpro-app)** by Cameron Mcconnell: While primarily a utility, it occupies the same food-tech space by assisting users in the kitchen, potentially diverting time from ordering out. - Density-aware conversion logic provides professional-grade accuracy that standard kitchen apps fail to deliver for home cooks. - Full offline functionality ensures the app remains useful in kitchens with poor connectivity or during travel. - **[Blue Nile Injera](https://marlvel.ai/apps/blue-nile-injera)** by Berhane Asbu Asmelash: This app serves a similar niche by providing a direct-to-consumer ordering interface for a specific local restaurant brand. - Built-in loyalty rewards program incentivizes repeat purchases directly within the restaurant's own digital ecosystem. - Simplified transaction history allows users to quickly reorder past favorites without navigating the full menu. ### New Kids on the Block (What's Innovative) - **[Honest Johns Pizzeria](https://marlvel.ai/apps/honest-johns-pizzeria)** by Honest John's Pizza, Inc.: This newcomer represents the growing shift toward branded apps that integrate third-party delivery services for broader reach. - Hybrid delivery model combines direct ordering with third-party logistics to maximize reach without managing a fleet. - **[Annie's Pizzeria MA](https://marlvel.ai/apps/annie-s-pizzeria-ma)** by Avco Industries: A new entrant focusing on a single-brand ordering experience, highlighting the trend of restaurants moving away from aggregators. - One-tap reordering engine drastically reduces the time required for loyal customers to place their frequent orders. ## App Momentum (Zombie) {#momentum} - Released initial version Dec 2025. > **Cadence:** 1 total versions · 0 majors in last 6 months · 161 days since last update ## The "So What?" (Strategic Takeaway) {#so-what} Jídlo z Vejmrdy is an established food & drink app that is completely free. > **Bottom Line:** Jídlo z Vejmrdy captures restaurant margins by bypassing aggregators, but it lacks the retention mechanics to keep users from switching to Uber Eats, so the PM should prioritize a loyalty program to build stickiness. **Best for:** Local customers seeking a direct method to order food for delivery from the restaurant. ### PM Action Plan (Next Best Moves) - [ ] [INVEST] [HIGH IMPACT] Ship a loyalty rewards program because repeat-order data is currently missing → increase customer lifetime value — *Competitors like Blue Nile Injera utilize loyalty programs to incentivize repeat purchases directly within their own digital interface.* _(trade-off: deprioritize Pause the development of additional menu filtering features — loyalty loops have higher impact on retention.)_ ### Feature Gaps vs Competitors - Loyalty rewards program (available in Blue Nile Injera but missing here) - Table reservation system (available in Konnichiwa Sushi but missing here) - Cash on delivery support (available in Get Eazy but missing here) ### Outlook: Stable The local food ordering market is consolidating around platforms that offer either massive convenience or zero-commission margins. Jídlo z Vejmrdy is positioned to capture the latter, but must add retention features to survive the churn pressure from aggregators. - ⚪ The app maintains a basic feature set focused on direct ordering, which avoids commission fees but limits discovery potential. ## Key Metrics Summary | Metric | Value | | :--- | :--- | | Total Reviews | 0 | | Confidence | Low | | Pricing Model | Free | | Platforms | iOS | | Key Features | 3 analyzed | | Trend | Stable | | Outlook | Stable | ## Competitor Comparison | App | Rating | Sentiment | Developer | | :--- | :--- | :--- | :--- | | **Jídlo z Vejmrdy** (this app) | N/A/5 | N/A | speedlo s.r.o. | | [Konnichiwa Sushi](https://marlvel.ai/apps/com-krokodiili-konnichiwa) | 4.0/5 | N/A | koodikroko | | [Radoo: Delivery Local](https://marlvel.ai/apps/app-radoo-radooapp) | 4.8/5 | N/A | Radware Labs | | [Tare: Ingredient Converter](https://marlvel.ai/apps/com-kitchenconverterpro-app) | 5.0/5 | N/A | Cameron Mcconnell | | [Uber Eats: Food & Groceries](https://marlvel.ai/apps/uber-eats-food-groceries) | 4.8/5 | Frustrated | Uber Technologies, Inc. | | [Caviar - Order Food Delivery](https://marlvel.ai/apps/caviar-order-food-delivery) | 4.8/5 | Excited | Caviar, Inc. | ## Company Profile - **Developer:** speedlo s.r.o. ## Data Sources & Links - **App Store:** [View on Apple Store](https://apps.apple.com/us/app/j%C3%ADdlo-z-vejmrdy/id6743755944?uo=4) - **Sources:** App store metadata. ## Related Intel Reports - [*Konnichiwa Sushi*](https://marlvel.ai/apps/com-krokodiili-konnichiwa) (koodikroko) — 4.0/5 Rating | N/A Sentiment - [*Radoo: Delivery Local*](https://marlvel.ai/apps/app-radoo-radooapp) (Radware Labs) — 4.8/5 Rating | N/A Sentiment - [*Tare: Ingredient Converter*](https://marlvel.ai/apps/com-kitchenconverterpro-app) (Cameron Mcconnell) — 5.0/5 Rating | N/A Sentiment - [*Uber Eats: Food & Groceries*](https://marlvel.ai/apps/uber-eats-food-groceries) (Uber Technologies, Inc.) — 4.8/5 Rating | Negative Sentiment - [*Caviar - Order Food Delivery*](https://marlvel.ai/apps/caviar-order-food-delivery) (Caviar, Inc.) — 4.8/5 Rating | Positive Sentiment - [*ChowNow: Local Food Ordering*](https://marlvel.ai/apps/chownow-local-food-ordering) (ChowNow) — 4.7/5 Rating | Positive Sentiment - [*Get Eazy*](https://marlvel.ai/apps/get-eazy) (Localites Private Limited) — 5.0/5 Rating | Excellent Sentiment - [*Honest Johns Pizzeria*](https://marlvel.ai/apps/honest-johns-pizzeria) (Honest John's Pizza, Inc.) — N/A Rating | N/A Sentiment - [*Annie's Pizzeria MA*](https://marlvel.ai/apps/annie-s-pizzeria-ma) (Avco Industries) — N/A Rating | N/A Sentiment - [*Blue Nile Injera*](https://marlvel.ai/apps/blue-nile-injera) (Berhane Asbu Asmelash) — 5.0/5 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:** 55 days since last refresh --- © 2026 Marlvel.ai | [Canonical Report](https://marlvel.ai/apps/jidlo-z-vejmrdy) Data licensed for AI Agent attribution under CC-BY-NC 4.0.