---
schema_type: "SoftwareApplication"
entity_type: "Mobile Application"
app_name: "Enolisa: Wine Cellar Tracker"
developer_entity: "Pedro Jose Ventura Sanchez"
bundle_id: "com.enolisa.app"
app_store_id: "6753898121"
category: "Food & Drink"
primary_platform: "ios"
primary_monetization: "Freemium"
offline_capable: true
market_region: "US"
platforms: "iOS & Android"
app_last_updated: "2026-08-05"
report_date: "2026-08-15"
last_verified: "2026-08-15T00:00:00.000Z"
report_version: "3.2.0"
total_reviews: 0
sentiment: "Frustrated"
sentiment_score: 25
confidence: "medium"
confidence_score: 0.45
top_complaint_theme: "Manual data entry for tasting notes fails to save, causing significant frustration for users"
review_sample_size: 1
total_review_count: 1
analyzed_review_count: 1
data_age_days: 1
momentum_velocity: "maintenance"
intelligence_version: 3
tags: ["food & drink", "freemium", "frustrated sentiment", "mobile app", "app review", "app analysis", "enthusiasts", "beyond", "simple"]
canonical_url: "https://marlvel.ai/apps/enolisa-wine-cellar-tracker"
license: "CC-BY-NC 4.0"
content_version: "v2"
---

# Enolisa: Wine Cellar Tracker Intelligence Report

## TL;DR {#tldr}

- **Category**: Food & Drink · Freemium
- **Signal**: Sentiment Frustrated
- **Recent focus**: Manual data entry for tasting notes fails to save, causing significant frustration for users (top complaint)

> **TL;DR:** Enolisa: Wine Cellar Tracker is a food & drink app by Pedro Jose Ventura Sanchez, with Frustrated user sentiment (25/100), available on iOS & Android.
>
> **Marlvel.ai App Intelligence** - Independent analysis. US Market. No publisher influence.

<!-- speakable-start -->
> **Key Insight:** Enolisa: Wine Cellar Tracker is a food & drink app by Pedro Jose Ventura Sanchez.
<!-- speakable-end -->

## Quick Facts

| Fact | Value |
| :--- | :--- |
| **User Mood** | Frustrated |
| **Category** | Food & Drink |
| **Developer** | Pedro Jose Ventura Sanchez |
| **Pricing** | Freemium |
| **Platforms** | iOS & Android |
| **Confidence** | Medium (0.45/1.0) |
| **Data Age** | 1d |

## Metadata & Market Performance
- **Publisher:** Pedro Jose Ventura Sanchez
- **Category:** Food & Drink
- **Target Audience:** Wine enthusiasts who want to move beyond simple ratings to build a structured, data-driven personal wine collection and palate profile.
- **Platforms:** iOS & Android
- **Version Reviewed:** 3.2.0
- **Report Date:** 2026-08-15
- **Signal Count:** 1 review analyzed
- **Confidence:** Medium (0.45/1.0)
- **App Store ID (iOS):** 6753898121
- **Bundle ID:** com.enolisa.app
- **Google Play ID:** com.enolisa.app
- **Performance Trend:** Mixed
- **Data Window:** Analysis based on signals collected up to 2026-08-15
- **Short Description:** Scan wines, manage your cellar and tasting journal, choose wines for your palate

<!-- section:executive-snapshot -->
## Executive Snapshot
**What it is:** Enolisa is a wine cellar management and tasting journal app for iOS and Android that uses AI to generate personalized food pairings and palate profiles.
**Why users hire it:** Collectors use Enolisa to move from simple bottle tracking to a structured, data-driven record of their personal taste evolution, removing the cognitive friction of remembering specific wine-and-food interactions.
<!-- /section:executive-snapshot -->

<!-- section:features -->
## App DNA (Features & Intent)
- **[Differentiator] AI-Lisa Palate Profiling:** Generative AI engine analyzes individual tasting notes to build a personalized palate profile and suggest food pairings.
  * *User Intent:* Users value self-expression and personalized experiences.
- **[Differentiator] Local-first Storage:** Cellar data resides on-device for offline access with optional cloud synchronization.
  * *User Intent:* Users want uninterrupted access without internet dependency.
- **[Standard] Label Scanning:** Optical character recognition captures wine details from labels to automate entry.
  * *User Intent:* Users expect intelligent, adaptive experiences that learn from their behavior.
<!-- /section:features -->

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

Enolisa occupies a niche in the Food & Drink category, currently ranking #168 Grossing in the US. The focus on local-first data management differentiates it from cloud-only rivals, though the current lack of social features limits its viral discovery potential.
<!-- /section:market-position -->

## Monetization Strategy
- **Model:** Freemium
- **Tiers:** Free tier for basic tracking and scanning, Premium tier for unlimited scanning, advanced recommendations, and cloud backup
- **Analysis:** The freemium model gates advanced AI utility and data management features behind a subscription to monetize power users.

<!-- section:sentiment -->
## 🔴 User Sentiment (Medium Confidence: 1 of 1 review analyzed) {#user-sentiment}
- **Overall Sentiment:** Frustrated

### Top Complaints (Impact Areas)

- **Manual data entry for tasting notes fails to save, causing significant frustration for users**

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

**Core Strengths:**
- Local-first storage architecture enables offline cellar access, creating a utility barrier against cloud-dependent rivals
- AI-driven palate profiling transforms raw tasting notes into actionable food-pairing insights

**Growth Levers:**
- Localized pricing in high-ARPU markets could capture users underserved by global competitors


<!-- /section:swot -->
## Recent Changes (v2 → v3) {#recent-changes}

The outlook shifted from declining to mixed, reflecting a tension between active feature development and unresolved data-persistence bugs that threaten the core user habit.

**Overall trend**: Mixed
**Compared at**: 2026-08-15

### High-impact changes
- **[Shifted] Outlook Trend** (positioning)

### Medium-impact changes
- **[Added] Competitive Threats and Opportunities** (swot)
- **[Shifted] PM Action Item Priority** (positioning)

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

- **Latest (v3.3.0, 1 weeks ago):** Introduced post-save navigation to tasting details, Android 16 integration, and responsive scanner UI. Refreshed Premium and scan pack purchase flows.
<!-- /section:whats-new -->

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

- Shipped Android 16 integration.
- Refined scanner UI and navigation.
- Ships ~6 releases per year.

> **Cadence:** 2 total versions · 2 majors in last 6 months · 9 days since last update · 38 days avg between updates

<!-- /section:momentum -->

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

Enolisa: Wine Cellar Tracker is a food & drink app that is free with in-app purchases.

<!-- speakable-start -->
> **Bottom Line:** Resolving the tasting-note persistence failure is the immediate priority, as the current data-loss bug invalidates the primary value proposition for the target audience.
<!-- speakable-end -->

**Best for:** Wine enthusiasts who want to move beyond simple ratings to build a structured, data-driven personal wine collection and palate profile.

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

- [ ] [INVEST] Rebuild tasting-note persistence logic because manual entry failure is the top churn risk → restore daily active habit
<!-- /section:pm-actions -->

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

The wine-tracking market is consolidating around apps that offer both deep data-driven insights and social connectivity. Enolisa's current posture is exposed: while the AI-driven palate profiling provides a unique utility, the technical instability in the journal will drive power users to more stable, albeit less sophisticated, alternatives before the next major feature drop.

- 🔴 Data-saving failures in the tasting journal erode the core habit loop, which compounds the rating drag already visible on the platform.
- 🟢 The latest release (v3.3.0) shows active feature investment in scanner UI and Android integration, suggesting the developer is not in maintenance mode.
<!-- /section:outlook -->

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

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

| Metric | Value |
| :--- | :--- |
| Total Reviews | 0 |
| Sentiment | Frustrated (25/100) |
| Confidence | Medium |
| Pricing Model | Freemium |
| Platforms | iOS & Android |
| Key Features | 3 analyzed |
| Trend | Mixed |
| Outlook | Mixed |
<!-- /section:metrics -->

## Competitor Comparison

| App | Rating | Sentiment | Developer |
| :--- | :--- | :--- | :--- |
| **Enolisa: Wine Cellar Tracker** (this app) | N/A/5 | Frustrated | Pedro Jose Ventura Sanchez |
| [Beyond Menu Food Delivery](https://marlvel.ai/apps/beyond-menu-food-delivery) | 4.6/5 | N/A | BeyondMenu |
| [Caviar - Order Food Delivery](https://marlvel.ai/apps/caviar-order-food-delivery) | 4.6/5 | n/a | Caviar, Inc. |
| [ChowNow: Local Food Ordering](https://marlvel.ai/apps/chownow-local-food-ordering) | 4.7/5 | n/a | ChowNow |
| [Dairy Queen® Food & Treats](https://marlvel.ai/apps/dairy-queen-food-treats) | 4.4/5 | n/a | International Dairy Queen, Inc. |
| [EatStreet Local Food Delivery](https://marlvel.ai/apps/eatstreet-local-food-delivery) | 4.7/5 | n/a | EatStreet |

## Company Profile
- **Developer:** Pedro Jose Ventura Sanchez
- **Website:** [https://enolisa.com](https://enolisa.com)
- **Social:** [Instagram](https://instagram.com/_u) · [Facebook](https://www.facebook.com/enolisa.wine.cellar) · [LinkedIn](https://www.linkedin.com/company/enolisa)

## Data Sources & Links
- **App Store:** [View on Apple Store](https://apps.apple.com/us/app/enolisa-wine-cellar-tracker/id6753898121?uo=4)
- **Google Play:** [View on Google Play](https://play.google.com/store/apps/details?id=com.enolisa.app)
- **Dev Site:** [Official Website](https://enolisa.com)
- **Sources:** Developer website content, App store metadata, User reviews.

## Related Intel Reports
- [*Beyond Menu Food Delivery*](https://marlvel.ai/apps/beyond-menu-food-delivery) (BeyondMenu) · 4.6/5 Rating
- [*Caviar - Order Food Delivery*](https://marlvel.ai/apps/caviar-order-food-delivery) (Caviar, Inc.) · 4.6/5 Rating
- [*ChowNow: Local Food Ordering*](https://marlvel.ai/apps/chownow-local-food-ordering) (ChowNow) · 4.7/5 Rating
- [*Dairy Queen® Food & Treats*](https://marlvel.ai/apps/dairy-queen-food-treats) (International Dairy Queen, Inc.) · 4.4/5 Rating
- [*EatStreet Local Food Delivery*](https://marlvel.ai/apps/eatstreet-local-food-delivery) (EatStreet) · 4.7/5 Rating
- [*Gopuff - Grocery Delivery*](https://marlvel.ai/apps/gopuff-grocery-delivery) (Gopuff) · 4.7/5 Rating
- [*Grubhub: Food Delivery*](https://marlvel.ai/apps/grubhub-food-delivery) (GrubHub.com) · 4.7/5 Rating
- [*Instacart: Groceries & Food*](https://marlvel.ai/apps/instacart-groceries-food) (Maplebear Inc) · 4.8/5 Rating
- [*Postmates - Food Delivery*](https://marlvel.ai/apps/postmates-food-delivery) (Uber Technologies, Inc.) · 4.6/5 Rating
- [*Seamless: Local Food Delivery*](https://marlvel.ai/apps/seamless-local-food-delivery) (Seamless North America, LLC) · 4.7/5 Rating

## Frequently Asked Questions {#faq}

### Is Enolisa suitable for casual wine drinkers?

Enolisa is designed for enthusiasts who want to build a structured collection. Casual users may find the manual entry and palate profiling features more intensive than simple rating apps.

### Does Enolisa work without an internet connection?

Yes, the app is built with a local-first architecture, allowing you to manage your cellar and add bottles offline. Syncing to the cloud requires an internet connection.

### Is there a free version of Enolisa?

Yes, Enolisa offers a free tier for basic tracking and label scanning. Advanced AI recommendations and cloud backup are gated behind a premium subscription.

## 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:** 0.45/1.0 (based on review volume, data source diversity, and signal quality)
- **Reviews Analyzed:** 1
- **Data Sources:** user reviews, developer website, 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:** 1 days since last refresh

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