# Wine Menu Placement Optimizer AI Agent Connect

> Analyze wine menu positioning to optimize sales using menu engineering.

## Overview
- **Category:** business-intelligence
- **Price:** Free
- **Endpoint:** https://edge.vinkius.com/vk_preview_uT7f7vpTiblvj0Nle8rcwodW1ih06GviduXjyby1/ai-agent-connect
- **Tags:** wine, menu-engineering, sales-optimization, restaurant, analytics

## Description

This MCP server provides strategic analysis tools for restaurant managers to optimize wine menu performance. By applying menu engineering principles, it evaluates how wine placement affects consumer behavior. Use `analyze_wine_position` to calculate visibility scores and sales probability for specific items, or `calculate_menu_health` to categorize your offerings into Stars, Plowhorses, Puzzles, and Dogs. For actionable improvements, `recommend_placement_optimization` suggests specific structural changes to maximize profit or volume based on your current menu layout.

## Tools

### get_menu_benchmarks
Retrieves standardized visibility and performance thresholds for different menu types

### analyze_wine_position
Evaluates the strategic effectiveness of a specific wine's placement on a menu

### calculate_menu_health
Provides a high-level overview of a menu's performance based on sales and profitability data

### recommend_placement_optimization
Suggests specific structural changes to the menu to improve the performance of "Puzzle" or "Dog" items

## Prompt Examples

**Prompt:** 
```
How is the placement of the first wine in my by-glass menu performing?
```

**Response:** 
```
The wine at position 0 has a high visibility score due to the Primacy effect, resulting in a high sales probability.
```

**Prompt:** 
```
Analyze my menu health with this data: [{"volume": 50, "margin": 20}, {"volume": 10, "margin": 45}] and type 'by-glass'.
```

**Response:** 
```
Your menu contains 1 Plowhorse and 1 Puzzle item, with an overall performance score of 0.75.
```

**Prompt:** 
```
What are the ideal margin thresholds for a bottle list?
```

**Response:** 
```
For a bottle list, the ideal margin threshold is 0.45 and the optimal position range is [0, 2].
```

## Frequently Asked Questions

**How can I improve my high-margin wines that aren't selling?**
You can use `recommend_placement_optimization` to identify high-margin 'Puzzle' items and receive specific suggestions on moving them to high-visibility positions like Prime zones.

**What is a visibility score?**
The visibility score, provided by `analyze_wine_position`, is a metric representing the visual impact of a wine's position based on psychological effects like Primacy and Recency.

**Can I analyze both by-glass and bottle lists?**
Yes, all tools such as `get_menu_benchmarks` and `calculate_menu_health` are designed to handle both 'by-glass' and 'bottle-list' menu types.