--- schema_type: "SoftwareApplication" entity_type: "Mobile Application" app_name: "Pizzerie na náměstí" developer_entity: "speedlo s.r.o." bundle_id: "cz.speedlo.pizzerienanam" app_store_id: "6448625202" category: "Food & Drink" primary_platform: "ios" primary_monetization: "Free" offline_capable: false market_region: "US" platforms: "iOS" app_last_updated: "2023-05-01" report_date: "2026-05-22" last_verified: "2026-05-22T12:34:37.363Z" report_version: "1.1" 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", "restaurant"] canonical_url: "https://marlvel.ai/apps/pizzerie-na-namesti" license: "CC-BY-NC 4.0" content_version: "v2" --- # Pizzerie na náměstí App Audit ## TL;DR {#tldr} - **Category**: Food & Drink · Free > **TL;DR:** Pizzerie na náměstí 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:** Pizzerie na náměstí 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 of the restaurant seeking a direct channel for food delivery orders. - **Platforms:** iOS - **Version Audited:** 1.1 - **Audit Date:** 2026-05-22 - **Signal Count:** 0 reviews analyzed - **Confidence:** Low (0.05/1.0) - **App Store ID (iOS):** 6448625202 - **Bundle ID:** cz.speedlo.pizzerienanam - **Performance Trend:** Stable - **Data Window:** Analysis based on signals collected up to 2026-05-22 ## Executive Snapshot **What it is:** Pizzerie na náměstí is a food ordering app for local customers to place delivery orders directly from their mobile devices. **Why users hire it:** The app serves the need for a commission-free ordering channel, allowing the restaurant to maintain a direct relationship with its local customer base. ## App DNA (Features & Intent) - **[Standard] Digital Menu:** Full delivery menu accessible within the mobile interface - **[Standard] Delivery Location Selection:** User-defined delivery area selection for order fulfillment - **[Basic] Promotional Updates:** In-app display of current restaurant events and special offers * *User Intent:* Users seek enhanced value through premium features. ## Market Position {#market-position} The app operates as a niche direct-ordering utility for a single restaurant, lacking the scale and logistics infrastructure of major delivery aggregators. ## Monetization Strategy - **Model:** Free - **Tiers:** Free app download - **Analysis:** The app functions as a zero-cost utility to facilitate direct-to-consumer food orders for the restaurant. ## SWOT Analysis {#swot} **Core Strengths:** - Direct brand relationship avoids third-party data silos - Zero commission fees improve restaurant margins **Critical Frictions:** - No loyalty rewards program - Lacks real-time order tracking - Missing dietary menu filtering **Growth Levers:** - Integrate a digital loyalty program to incentivize repeat orders - Add dietary filtering to capture health-conscious segments **Market Threats:** - Aggregator platforms offer superior logistics - New entrants provide more granular order customization ## Recent Changes (v3 → v4) {#recent-changes} The analysis expanded its competitive benchmarking and SWOT granularity, though the underlying product remains in a state of development inactivity. **Overall trend**: Stable **Compared at**: 2026-05-22 ### High-impact changes - **[Shifted] SWOT Analysis Refinement** (swot) — Strengths and weaknesses were updated to focus on data ownership and dietary filtering, replacing previous generic entries. - **[Added] Competitive Landscape Expansion** (positioning) — Added head-to-head analysis against Uber Eats and identified new market entrants including Honest Johns Pizzeria and Annie's Pizzeria MA. ### Medium-impact changes - **[Added] Dietary Filtering Gap** (features) — Documented the absence of dietary menu filtering as a specific feature gap compared to competitors like El Taller. ## Rivals Landscape {#rivals} > Competitive positioning identified by AI analysis of app features, category, and market signals. ### Pizzerie na náměstí 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 dominates the food delivery market by providing a massive, multi-category marketplace that directly competes for the same local dining and delivery occasions as Pizzerie na náměstí. - **Key differences:** - Offers a massive multi-category marketplace including groceries, which significantly increases daily user retention and engagement - Provides sophisticated real-time order tracking and logistics infrastructure that far exceeds basic local restaurant ordering - Leverages the Uber One subscription model to lock in high-frequency users through exclusive delivery discounts - **Where Pizzerie na náměstí wins:** - ✅ Zero commission fees for the restaurant, allowing for better margins or lower menu prices - ✅ Direct brand relationship with the customer without third-party platform interference or data silos - **Where Uber Eats: Food & Groceries wins:** - ❌ Unmatched logistics network and driver availability ensuring faster and more reliable delivery times - ❌ Superior app performance and feature set including real-time GPS tracking and integrated payment ecosystems - **Verdict:** Pizzerie na náměstí cannot compete on logistics; it must double down on its direct-to-consumer relationship and loyalty to avoid commoditization. ### 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, targeting users who prioritize high-quality restaurant partnerships. - Curates exclusive restaurant partnerships that provide a higher-end dining experience compared to standard fast-food delivery apps - Integrates with DashPass to provide a seamless subscription benefit that incentivizes frequent ordering from premium partners - **[ChowNow: Local Food Ordering](https://marlvel.ai/apps/chownow-local-food-ordering)** by ChowNow: ChowNow provides a direct ordering platform for restaurants, mirroring the goal of Pizzerie na náměstí to own the customer relationship. - Operates on a commission-free model that aligns perfectly with the needs of independent local restaurant owners - Provides 24/7 human support, offering a high-touch service layer that automated apps often fail to deliver - **[Radoo: Delivery Local](https://marlvel.ai/apps/app-radoo-radooapp)** by Radware Labs: Radoo competes by positioning itself as an ethical, local-first delivery alternative to large-scale platforms. - Features an ethical labor model that appeals to socially conscious consumers who avoid traditional gig-economy apps - Utilizes eco-friendly logistics branding to differentiate from the carbon-heavy footprint of standard food delivery services - **[Get Eazy](https://marlvel.ai/apps/get-eazy)** by Localites Private Limited: Get Eazy acts as a local marketplace aggregator that competes for the same digital-first food ordering audience. - Integrates an in-app wallet system that simplifies repeat transactions and encourages platform-specific spending habits - Supports cash-on-delivery options which captures segments of the market that are hesitant to use digital payments ### Peers (What They Do Better) - **[Konnichiwa Sushi](https://marlvel.ai/apps/com-krokodiili-konnichiwa)** by koodikroko: This app provides a similar digital storefront for a specific restaurant, including table reservations and takeaway ordering. - Integrates table reservation capabilities directly into the app, bridging the gap between dine-in and takeaway - Uses a token collection system to gamify the ordering process and encourage long-term customer retention - **[El Taller](https://marlvel.ai/apps/el-taller)** by Orionsoft SpA: El Taller is a direct-ordering app for a specific food business, serving as a functional peer to the target app. - Features specialized dietary menu filtering to accommodate users with specific health or lifestyle-based food requirements - Focuses on a direct ordering system that bypasses third-party aggregators to maintain brand control - **[Tare: Ingredient Converter](https://marlvel.ai/apps/com-kitchenconverterpro-app)** by Cameron Mcconnell: While utility-focused, it occupies the same food-tech space by assisting users with the preparation and management of food. - Provides density-aware ingredient conversion which is a highly technical tool for home cooks and chefs - Offers full offline functionality, ensuring the app remains useful in kitchen environments with poor connectivity - **[Blue Nile Injera](https://marlvel.ai/apps/blue-nile-injera)** by Berhane Asbu Asmelash: This is a single-restaurant app that shares the same functional goal of facilitating direct mobile ordering for a specific menu. - Includes a built-in loyalty rewards program that incentivizes repeat visits directly within the ordering flow - Maintains a detailed transaction history that allows users to easily reorder their favorite past meals ### 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 provides a direct-to-consumer ordering experience that competes for the same local pizza-ordering demographic. - Includes dedicated catering information modules to capture high-value bulk orders from local businesses and events - **[Annie's Pizzeria MA](https://marlvel.ai/apps/annie-s-pizzeria-ma)** by Avco Industries: A new entrant in the pizza-specific delivery space that directly challenges the target's local market share. - Implements a robust customization engine that allows users to build complex pizza orders with granular control ## What's New - **Latest (v1.1, 3 years ago):** Minor improvements. ## App Momentum (Zombie) {#momentum} - No major feature updates released recently. > **Cadence:** 1 total versions · 0 majors in last 6 months · 1116 days since last update ## The "So What?" (Strategic Takeaway) {#so-what} Pizzerie na náměstí is an established food & drink app that is completely free. > **Bottom Line:** Pizzerie na náměstí succeeds as a low-cost direct ordering channel, but it lacks the retention mechanics required to compete with aggregator convenience, so the PM should prioritize a loyalty module to lock in high-frequency local diners. **Best for:** Local customers of the restaurant seeking a direct channel for food delivery orders. ### PM Action Plan (Next Best Moves) - [ ] [INVEST] [HIGH IMPACT] Ship a basic loyalty rewards module because repeat orders are currently un-incentivized → increase customer lifetime value — *Competitors like Blue Nile Injera successfully use loyalty programs to drive repeat visits.* _(trade-off: deprioritize Push the dietary menu filtering feature to the next quarter.)_ ### Feature Gaps vs Competitors - Real-time order tracking (available in Uber Eats but absent here) - Loyalty rewards program (available in Blue Nile Injera but absent here) - Dietary menu filtering (available in El Taller but absent here) ### Outlook: Stable The local food delivery market is consolidating around platforms that offer high-touch logistics and integrated loyalty, leaving single-restaurant apps exposed. Pizzerie na náměstí must evolve its feature set beyond a basic menu to avoid becoming obsolete as user expectations for real-time tracking and rewards grow. - ⚪ The app maintains a static feature set, which ensures stability but limits its ability to capture market share from more dynamic competitors. ## 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 | | :--- | :--- | :--- | :--- | | **Pizzerie na náměstí** (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/pizzerie-na-n%C3%A1m%C4%9Bst%C3%AD/id6448625202?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/pizzerie-na-namesti) Data licensed for AI Agent attribution under CC-BY-NC 4.0.