---
schema_type: "SoftwareApplication"
entity_type: "Mobile Application"
app_name: "Anne Maria NY Pizza & Wings"
developer_entity: "My shop technologies ltd"
bundle_id: "com.myshoptechnologies.myshopg121331"
app_store_id: "6764255618"
category: "Food & Drink"
primary_platform: "ios"
primary_monetization: "Free"
offline_capable: false
market_region: "US"
platforms: "iOS & Android"
app_last_updated: "2026-05-14"
report_date: "2026-05-21"
last_verified: "2026-05-21T10:40:40.289Z"
report_version: "1.0.2(3.3.29)"
total_reviews: 0
confidence: "low"
confidence_score: 0.05
data_age_days: 41
momentum_velocity: "maintenance"
intelligence_version: 4
nemesis: "Uber Eats: Food & Groceries"
competitor_count: 11
tags: ["food & drink", "free", "mobile app", "app review", "app analysis", "local", "customers", "maria"]
canonical_url: "https://marlvel.ai/intel-report/food-drink/anne-maria-ny-pizza-wings"
license: "CC-BY-NC 4.0"
content_version: "v2"
---

# Anne Maria NY Pizza & Wings App Audit

## TL;DR {#tldr}

- **Category**: Food & Drink · Free

> **TL;DR:** Anne Maria NY Pizza & Wings is a food & drink app by My shop technologies ltd, available on iOS & Android.
>
> **Marlvel.ai App Intelligence** — Independent analysis. US Market. No publisher influence.

<!-- speakable-start -->
> **Key Insight:** Anne Maria NY Pizza & Wings is a food & drink app by My shop technologies ltd.
<!-- speakable-end -->

## Quick Facts

| Fact | Value |
| :--- | :--- |
| **Category** | Food & Drink |
| **Developer** | My shop technologies ltd |
| **Pricing** | Free |
| **Platforms** | iOS & Android |
| **Confidence** | Low (0.05/1.0) |
| **Data Age** | 0d |

## Metadata & Market Performance
- **Publisher:** My shop technologies ltd
- **Category:** Food & Drink
- **Target Audience:** Local customers of Anne Maria NY Pizza & Wings seeking a convenient way to order food for delivery or pickup.
- **Platforms:** iOS & Android
- **Version Audited:** 1.0.2(3.3.29)
- **Audit Date:** 2026-05-21
- **Signal Count:** 0 reviews analyzed
- **Confidence:** Low (0.05/1.0)
- **App Store ID (iOS):** 6764255618
- **Bundle ID:** com.myshoptechnologies.myshopg121331
- **Google Play ID:** com.myshoptechnologies.myshopg121331
- **Performance Trend:** Mixed
- **Data Window:** Analysis based on signals collected up to 2026-05-21

<!-- section:executive-snapshot -->
## Executive Snapshot
**What it is:** Anne Maria NY Pizza & Wings is a mobile ordering app for a single restaurant brand, providing menu browsing and order management on iOS and Android.
**Why users hire it:** Users hire this app to secure direct-to-consumer pricing by bypassing aggregator service fees, serving the need for lower-cost local food delivery.
<!-- /section:executive-snapshot -->

<!-- section:features -->
## App DNA (Features & Intent)
- **[Standard] Digital Ordering System:** Menu browsing and basket management with custom item comments
  * *User Intent:* Users value self-expression and personalized experiences.
- **[Standard] Push Notification Service:** Alerts for deals and discounts sent to user devices
  * *User Intent:* Users want timely prompts to stay engaged without missing updates.
- **[Standard] Personal Profile:** Storage of order history, shipping details, and payment methods
  * *User Intent:* Users seek enhanced value through premium features.
<!-- /section:features -->

<!-- section:market-position -->
## Market Position {#market-position}

The app functions as a single-brand utility within the Food & Drink category, lacking the marketplace reach of aggregators. Its competitive stance relies entirely on brand-specific loyalty rather than platform-wide discovery.
<!-- /section:market-position -->

## Monetization Strategy
- **Model:** Free
- **Tiers:** Free application with no IAP or subscription requirements
- **Analysis:** The app functions as a direct-to-consumer sales channel for the restaurant, monetizing through food sales rather than digital subscriptions.

<!-- section:swot -->
## SWOT Analysis {#swot}

**Core Strengths:**
- Direct-to-consumer ordering model retains full margins by bypassing aggregator fees
- Focused menu experience avoids marketplace clutter

**Critical Frictions:**
- No loyalty program or rewards integration
- Lacks one-tap reordering functionality present in newer pizza-specific competitors

**Growth Levers:**
- Integration of a simple loyalty rewards program to incentivize repeat visits
- Implementation of one-tap reordering to reduce checkout friction

**Market Threats:**
- Aggregator platforms like Uber Eats leveraging massive network effects
- New entrants like Annie's Pizzeria MA optimizing checkout speed

<!-- /section:swot -->
## Recent Changes (v3 → v4) {#recent-changes}

The analysis shifted from a broad maintenance-mode observation to a specific competitive critique regarding checkout friction and direct-to-consumer margin benefits.

**Overall trend**: Mixed
**Compared at**: 2026-05-21

### High-impact changes
- **[Added] One-tap reordering gap** (swot) — Added lack of one-tap reordering as a weakness and identified Annie's Pizzeria MA as a competitor leveraging this feature to reduce checkout friction.
- **[] Direct-to-consumer value proposition** (positioning) — Executive summary shifted from focusing on retention gaps to highlighting the margin-capture benefit of bypassing third-party aggregator fees.

### Medium-impact changes
- **[] Updated SWOT items** (swot) — Added 'Direct-to-consumer ordering model' as a strength and 'Aggregator platforms' as a threat to better reflect the competitive landscape.

<!-- section:rivals -->
## Rivals Landscape {#rivals}

> Competitive positioning identified by AI analysis of app features, category, and market signals.

### Anne Maria NY Pizza & Wings vs Uber Eats: Food & Groceries — Head to Head
- **[Uber Eats: Food & Groceries](https://marlvel.ai/intel-report/food-drink/uber-eats-food-groceries)** by Uber Technologies, Inc.: Uber Eats competes directly for the same food-ordering audience by providing a massive, multi-category marketplace that dwarfs the target's single-brand utility.
  - **Key differences:**
    - Offers a comprehensive multi-category marketplace including groceries, convenience, and alcohol beyond just restaurant food.
    - Leverages a massive logistics network for real-time order tracking and highly reliable delivery time estimates.
    - Provides the Uber One subscription model to drive recurring customer loyalty through exclusive discounts and perks.
  - **Where Anne Maria NY Pizza & Wings wins:**
    - ✅ Eliminates third-party service fees by facilitating direct-to-consumer ordering for the specific restaurant brand.
    - ✅ Offers a more focused, streamlined menu experience without the clutter of competing local restaurant listings.
  - **Where Uber Eats: Food & Groceries wins:**
    - ❌ Possesses an unmatched network effect with millions of active users and thousands of restaurant partners.
    - ❌ Features advanced algorithmic personalization that suggests food based on historical user behavior and preferences.
  - **Verdict:** The target app cannot compete on scale; it must double down on brand loyalty and direct-ordering incentives to bypass platform fees.

### Contenders (Strong Challengers)
- **[Pressto!](https://marlvel.ai/intel-report/food-drink/pressto)** by Appfront A.I. LTD: Pressto! competes by offering a white-label branded ordering solution that mirrors the target's goal of owning the customer relationship.
  - Offers deep POS integration that synchronizes menu changes and inventory levels in real-time across all channels.
  - Includes built-in loyalty and CRM tools specifically designed to increase customer lifetime value for individual restaurants.
- **[woso](https://marlvel.ai/intel-report/food-drink/woso)** by PumpApp Solutions AB: Woso competes as a direct mobile ordering utility, focusing on the core transactional flow of in-app food purchasing.
  - Focuses strictly on mobile ordering and in-app payments without the overhead of complex marketplace features.
  - Utilizes automated status notifications to keep customers informed throughout the entire food preparation and delivery lifecycle.
- **[Caviar - Order Food Delivery](https://marlvel.ai/intel-report/food-drink/caviar-order-food-delivery)** by Caviar, Inc.: Caviar targets the premium segment of the food delivery market, competing for customers seeking high-quality, curated dining experiences.
  - Curates exclusive partnerships with high-end local restaurants that are often unavailable on mass-market delivery platforms.
  - Integrates seamlessly with DashPass to provide cross-platform benefits for users already within the DoorDash ecosystem.
- **[ChowNow: Local Food Ordering](https://marlvel.ai/intel-report/food-drink/chownow-local-food-ordering)** by ChowNow: ChowNow competes by positioning itself as the commission-free alternative for local restaurants, directly challenging the target's value proposition.
  - Provides 24/7 human support for both restaurants and customers, ensuring higher resolution rates for order issues.
  - Operates on a commission-free model that allows restaurants to retain higher margins compared to aggregator apps.

### Peers (What They Do Better)
- **[Fermenters Friend](https://marlvel.ai/intel-report/utilities/fermenters-friend)** by Blaze Software: This app provides specialized utility for food preparation, sharing the same broad 'Food & Drink' category as the target.
  - Provides a specialized brine salt calculator that is essential for specific food preservation and preparation techniques.
  - Offers a curated list of suggested brines to assist users in achieving consistent culinary results.
- **[When Was This Opened?](https://marlvel.ai/intel-report/food-drink/com-createinc-0520bc5407634b5b96d3ef91f2582d3b)** by Christopher Romani: This app addresses food safety and management, overlapping with the target's broader category of food-related digital services.
  - Maintains a comprehensive safety guidance database to help users manage food storage and consumption timelines.
  - Ensures user privacy by performing all data processing locally on the device rather than the cloud.
- **[Tare: Ingredient Converter](https://marlvel.ai/intel-report/food-drink/com-kitchenconverterpro-app)** by Cameron Mcconnell: While more utility-focused, this app occupies the same food-tech ecosystem by assisting users with recipe management and scaling.
  - Uses density-aware algorithms to provide highly accurate ingredient conversions for professional and home cooking needs.
  - Supports full offline functionality, allowing users to access critical kitchen tools without a stable internet connection.
- **[Blue Nile Injera](https://marlvel.ai/intel-report/food-drink/blue-nile-injera)** by Berhane Asbu Asmelash: This app serves a similar niche of single-brand food ordering, focusing on loyalty and transaction history for a specific restaurant.
  - Prioritizes a simple loyalty rewards program to incentivize repeat visits for a specific culinary niche.
  - Maintains a clean transaction history log that helps users quickly reorder their favorite past menu items.

### New Kids on the Block (What's Innovative)
- **[Honest Johns Pizzeria](https://marlvel.ai/intel-report/food-drink/honest-johns-pizzeria)** by Honest John's Pizza, Inc.: This newcomer competes by offering a hybrid model of direct online ordering and third-party delivery integration for pizza.
  - Combines native online ordering with third-party delivery integrations to maximize reach and operational flexibility for the restaurant.
- **[Annie's Pizzeria MA](https://marlvel.ai/intel-report/food-drink/annie-s-pizzeria-ma)** by Avco Industries: A direct competitor in the pizza segment, this new entrant is aggressively targeting the same local customer base with similar ordering features.
  - Implements a one-tap reordering feature that significantly reduces friction for frequent pizza customers during checkout.

<!-- /section:rivals -->
<!-- section:whats-new -->
## What's New

- **Latest (v1.0.3(3.3.55), 1 weeks ago):** General bug fixes and performance improvements.
<!-- /section:whats-new -->

<!-- section:momentum -->
## App Momentum (Maintenance) {#momentum}

- Launched initial version in April 2026.
- Ships minor updates via white-label provider.

> **Cadence:** 2 total versions · 0 majors in last 6 months · 7 days since last update · 9 days avg between updates

<!-- /section:momentum -->

<!-- section:so-what -->
## The "So What?" (Strategic Takeaway) {#so-what}

Anne Maria NY Pizza & Wings is an established food & drink app that is completely free.

<!-- speakable-start -->
> **Bottom Line:** The app secures higher margins by bypassing aggregators, but it lacks the loyalty features needed to retain customers against competitors, so the PM should prioritize a simple rewards program to drive repeat ordering.
<!-- speakable-end -->

**Best for:** Local customers of Anne Maria NY Pizza & Wings seeking a convenient way to order food for delivery or pickup.

<!-- section:pm-actions -->
### PM Action Plan (Next Best Moves)

- [ ] [INVEST] [HIGH IMPACT] Ship one-tap reordering because competitors like Annie's Pizzeria MA offer it → reduce checkout friction — *Competitor Annie's Pizzeria MA uses one-tap reordering to capture frequent pizza customers.* _(trade-off: deprioritize Push the push-notification template update to Q3 — checkout friction has higher impact on conversion.)_
<!-- /section:pm-actions -->

<!-- section:feature-gaps -->
### Feature Gaps vs Competitors

- One-tap reordering (available in Annie's Pizzeria MA but absent here)
- Loyalty rewards program (available in Pressto! but absent here)
<!-- /section:feature-gaps -->

<!-- section:outlook -->
### Outlook: Stable

The local food-tech market is consolidating around apps that offer either deep loyalty integration or extreme checkout speed. Anne Maria NY Pizza & Wings remains exposed to churn if it does not evolve beyond a basic digital menu, so the PM must prioritize features that increase customer lifetime value.

- ⚪ The app maintains a standard feature set typical of white-label restaurant solutions, indicating a focus on operational utility rather than aggressive growth.
<!-- /section:outlook -->

<!-- /section:so-what -->

<!-- section:metrics -->
## Key Metrics Summary

| Metric | Value |
| :--- | :--- |
| Total Reviews | 0 |
| Confidence | Low |
| Pricing Model | Free |
| Platforms | iOS & Android |
| Key Features | 3 analyzed |
| Trend | Mixed |
| Outlook | Stable |
<!-- /section:metrics -->

## Competitor Comparison

| App | Rating | Sentiment | Developer |
| :--- | :--- | :--- | :--- |
| **Anne Maria NY Pizza & Wings** (this app) | N/A/5 | N/A | My shop technologies ltd |
| [Tare: Ingredient Converter](https://marlvel.ai/intel-report/food-drink/com-kitchenconverterpro-app) | 5.0/5 | N/A | Cameron Mcconnell |
| [Uber Eats: Food & Groceries](https://marlvel.ai/intel-report/food-drink/uber-eats-food-groceries) | 4.8/5 | Frustrated | Uber Technologies, Inc. |
| [Caviar - Order Food Delivery](https://marlvel.ai/intel-report/food-drink/caviar-order-food-delivery) | 4.8/5 | Excited | Caviar, Inc. |
| [ChowNow: Local Food Ordering](https://marlvel.ai/intel-report/food-drink/chownow-local-food-ordering) | 4.7/5 | Excited | ChowNow |
| [woso](https://marlvel.ai/intel-report/food-drink/woso) | N/A/5 | N/A | PumpApp Solutions AB |

## Company Profile
- **Developer:** My shop technologies ltd

## Data Sources & Links
- **App Store:** [View on Apple Store](https://apps.apple.com/us/app/anne-maria-ny-pizza-wings/id6764255618?uo=4)
- **Google Play:** [View on Google Play](https://play.google.com/store/apps/details?id=com.myshoptechnologies.myshopg121331&hl=en&gl=us)
- **Sources:** App store metadata.

## Related Intel Reports
- [*Tare: Ingredient Converter*](https://marlvel.ai/intel-report/food-drink/com-kitchenconverterpro-app) (Cameron Mcconnell) — 5.0/5 Rating | N/A 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
- [*Caviar - Order Food Delivery*](https://marlvel.ai/intel-report/food-drink/caviar-order-food-delivery) (Caviar, Inc.) — 4.8/5 Rating | Positive Sentiment
- [*ChowNow: Local Food Ordering*](https://marlvel.ai/intel-report/food-drink/chownow-local-food-ordering) (ChowNow) — 4.7/5 Rating | Positive Sentiment
- [*woso*](https://marlvel.ai/intel-report/food-drink/woso) (PumpApp Solutions AB) — N/A Rating | N/A Sentiment
- [*Fermenters Friend*](https://marlvel.ai/intel-report/utilities/fermenters-friend) (Blaze Software) — 4.5/5 Rating | N/A Sentiment
- [*Honest Johns Pizzeria*](https://marlvel.ai/intel-report/food-drink/honest-johns-pizzeria) (Honest John's Pizza, Inc.) — N/A Rating | N/A Sentiment
- [*Pressto!*](https://marlvel.ai/intel-report/food-drink/pressto) (Appfront A.I. LTD) — N/A Rating | N/A Sentiment
- [*Annie's Pizzeria MA*](https://marlvel.ai/intel-report/food-drink/annie-s-pizzeria-ma) (Avco Industries) — N/A Rating | N/A Sentiment
- [*Blue Nile Injera*](https://marlvel.ai/intel-report/food-drink/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:** 0 days since last refresh

---
© 2026 Marlvel.ai | [Canonical Report](https://marlvel.ai/intel-report/food-drink/anne-maria-ny-pizza-wings)
Data licensed for AI Agent attribution under CC-BY-NC 4.0.