---
schema_type: "SoftwareApplication"
entity_type: "Mobile Application"
app_name: "Palate - Wine Sommelier"
developer_entity: "AKBAR HASAN ABIDI"
bundle_id: "com.akbarabidi.palate"
app_store_id: "6768682851"
category: "Food & Drink"
primary_platform: "ios"
primary_monetization: "Free"
offline_capable: false
market_region: "US"
platforms: "iOS"
app_last_updated: "2026-10-16"
report_date: "2026-10-19"
last_verified: "2026-10-19T00:00:00.000Z"
report_version: "1.2.0"
total_reviews: 8
overall_rating: 5
confidence: "low"
confidence_score: 0.05
data_age_days: 16
momentum_velocity: "maintenance"
intelligence_version: 2
tags: ["food & drink", "free", "mobile app", "app review", "app analysis", "restaurant", "diners", "seeking"]
canonical_url: "https://marlvel.ai/apps/palate-wine-sommelier"
license: "CC-BY-NC 4.0"
content_version: "v2"
---

# Palate - Wine Sommelier Intelligence Report

## TL;DR {#tldr}

- **Category**: Food & Drink · Free
- **Signal**: Rating 5

> **TL;DR:** Palate - Wine Sommelier is a food & drink app by AKBAR HASAN ABIDI, rated 5/5 by 8 users, available on iOS.
>
> **Marlvel.ai App Intelligence** - Independent analysis. US Market. No publisher influence.

<!-- speakable-start -->
> **Key Insight:** Palate - Wine Sommelier is a food & drink app by AKBAR HASAN ABIDI.
<!-- speakable-end -->

## Quick Facts

| Fact | Value |
| :--- | :--- |
| **Rating** | 5/5 (8 reviews) |
| **Category** | Food & Drink |
| **Developer** | AKBAR HASAN ABIDI |
| **Pricing** | Free |
| **Platforms** | iOS |
| **Confidence** | Low (0.05/1.0) |
| **Data Age** | 16d |

## Metadata & Market Performance
- **Publisher:** AKBAR HASAN ABIDI
- **Category:** Food & Drink
- **Target Audience:** Restaurant diners in New York seeking data-driven wine recommendations based on personal taste and budget.
- **Platforms:** iOS
- **Version Reviewed:** 1.2.0
- **Report Date:** 2026-10-19
- **Signal Count:** 0 reviews analyzed
- **Confidence:** Low (0.05/1.0)
- **App Store ID (iOS):** 6768682851
- **Bundle ID:** com.akbarabidi.palate
- **Data Window:** Analysis based on signals collected up to 2026-10-19

<!-- section:executive-snapshot -->
## Executive Snapshot
**What it is:** Palate is a wine recommendation app for restaurant diners that uses OCR and personalized taste profiles to suggest bottles on iOS.
**Why users hire it:** The app removes the cognitive burden of navigating complex wine lists by matching specific restaurant inventory to a user's established flavor preferences.
<!-- /section:executive-snapshot -->

<!-- section:features -->
## App DNA (Features & Intent)
- **[Differentiator] Wine List OCR:** Photographs printed wine lists to extract and analyze available bottles, reducing friction for new users.
  * *User Intent:* Users expect intelligent, adaptive experiences that learn from their behavior.
- **[Differentiator] Personalized Taste Quiz:** One-time questionnaire establishes user flavor preferences to score recommendations, driving retention.
  * *User Intent:* Users value self-expression and personalized experiences.
- **[Differentiator] Preloaded Restaurant Menus:** Accesses pre-indexed wine lists for specific New York restaurants to bypass scanning.
<!-- /section:features -->

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

Palate occupies a specialized niche in the Food & Drink category, focusing on high-intent restaurant diners in NYC. With a 5-star rating across 8 reviews, the app demonstrates early positive reception, though the small sample size indicates a nascent stage of market penetration.
<!-- /section:market-position -->

## Monetization Strategy
- **Model:** Free
- **Tiers:** Free to download
- **Analysis:** Palate is currently free to download with no visible subscription or IAP gates, prioritizing user acquisition.

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

**Core Strengths:**
- Preloaded menu integration creates a proprietary distribution barrier
- Personalized taste quiz drives high switching costs via unique profiles

**Growth Levers:**
- Scaling preloaded menu partnerships to other major cities
- Introducing premium cellar analytics for power users


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

- **Latest (v1.2.0, 2 days ago):** Introduced direct dish ordering for select NYC restaurants, price-based filtering, improved recommendation logic, and enhanced restaurant search.
<!-- /section:whats-new -->

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

- Shipped menu integration for NYC restaurants.
- Added price-based filtering options.
- Ships updates with ~87-day cadence.

> **Cadence:** 2 total versions · 1 majors in last 6 months · 2 days since last update · 87 days avg between updates

<!-- /section:momentum -->

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

Palate - Wine Sommelier is a food & drink app that is completely free.
It holds a 5/5 rating from 8 reviews.

<!-- speakable-start -->
> **Bottom Line:** Palate maintains a strong niche position by mapping specific restaurant inventory to individual taste profiles, but the current free-only model requires a clear path to monetization to sustain development beyond the NYC market.
<!-- speakable-end -->

**Best for:** Restaurant diners in New York seeking data-driven wine recommendations based on personal taste and budget.

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

- [ ] [INVEST] Expand preloaded menu partnerships to additional cities because NYC-only focus limits growth → increase total addressable market
<!-- /section:pm-actions -->

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

Palate is currently in a build-and-refine phase, focusing on the NYC market to prove its recommendation logic. The app's ability to scale will depend on whether it can transition from a manual, partnership-heavy model to a more automated, database-driven approach.

- 🟢 The latest release (v1.2.0) shows active feature investment, specifically in reducing user friction via direct menu tapping.
- ⚪ The 87-day average update cadence suggests a measured development pace rather than an aggressive growth strategy.
<!-- /section:outlook -->

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

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

| Metric | Value |
| :--- | :--- |
| Overall Rating | 5/5 |
| Total Reviews | 8 |
| Confidence | Low |
| Pricing Model | Free |
| Platforms | iOS |
| Key Features | 3 analyzed |
| Outlook | Stable |
<!-- /section:metrics -->

## Competitor Comparison

| App | Rating | Sentiment | Developer |
| :--- | :--- | :--- | :--- |
| **Palate - Wine Sommelier** (this app) | 5/5 | N/A | AKBAR HASAN ABIDI |
| [Vegan Friendly](https://marlvel.ai/apps/com-veganfriendly) | 4.6/5 | Mixed | The Association For a Vegan Future (RA) |
| [소박한 한 그릇](https://marlvel.ai/apps/app--426) | N/A/5 | N/A | DaolSoft, Co., Ltd. |
| [알토란 레시피 - 요리 반찬 레시피](https://marlvel.ai/apps/woodisw-com-altrecipe) | N/A/5 | N/A | WoodiSW |
| [メニュー](https://marlvel.ai/apps/app--677) | N/A/5 | N/A | Satoshi Sato |
| [캐시모어](https://marlvel.ai/apps/com-bridgeworks-ios-cashmore) | 4.6/5 | N/A | bridgeworks |

## Company Profile
- **Developer:** AKBAR HASAN ABIDI

## Data Sources & Links
- **App Store ID:** 6768682851
- **Sources:** App store metadata.

## Related Intel Reports
- [*Vegan Friendly*](https://marlvel.ai/apps/com-veganfriendly) (The Association For a Vegan Future (RA)) · 4.6/5 Rating
- [*소박한 한 그릇*](https://marlvel.ai/apps/app--426) (DaolSoft, Co., Ltd.) · N/A Rating
- [*알토란 레시피 - 요리 반찬 레시피*](https://marlvel.ai/apps/woodisw-com-altrecipe) (WoodiSW) · N/A Rating
- [*メニュー*](https://marlvel.ai/apps/app--677) (Satoshi Sato) · N/A Rating
- [*캐시모어*](https://marlvel.ai/apps/com-bridgeworks-ios-cashmore) (bridgeworks) · 4.6/5 Rating
- [*푸드트래블-푸블페이*](https://marlvel.ai/apps/com-membership-foodtravel) (Flexday) · 1.3/5 Rating
- [*マイ・レシピ*](https://marlvel.ai/apps/app--689) (Satoshi Sato) · N/A Rating
- [*ジョイフルアプリ*](https://marlvel.ai/apps/jp-co-unerry-bbcouponappjoyfull) (UNERRY,INC.) · 3.5/5 Rating
- [*フレスタネットスーパーアプリ*](https://marlvel.ai/apps/jp-stailer-fresta) (10X, Inc.) · 4.3/5 Rating
- [*100 Lebanese Recipes*](https://marlvel.ai/apps/com-lebguide-100lebaneserecipes) (LebGuide.com) · 4.7/5 Rating

## Frequently Asked Questions {#faq}

### Is Palate useful if I am not in New York?

Palate currently focuses on preloaded menus for select New York restaurants. While you can still use the OCR feature to scan wine lists elsewhere, the app's primary benefit of pre-indexed menu data is currently limited to its NYC partnerships.

### Does Palate cost money to use?

Palate is currently free to download and use, with no visible subscription or in-app purchase gates for its core recommendation features.

### How does Palate compare to general wine apps?

Unlike general wine databases that provide global ratings, Palate focuses on specific restaurant wine lists and matches bottles to your personal taste profile rather than generic critic scores.

## 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 into synthesised themes (no verbatim quotes).
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:** 16 days since last refresh

---
© 2026 Marlvel.ai | [Canonical Report](https://marlvel.ai/apps/palate-wine-sommelier)
Data licensed for AI Agent attribution under CC-BY-NC 4.0.