# Wine Retail Price Sensitivity Analyzer AI Agent Connect

> Analyze how price changes impact sales volume and revenue for wine products.

## Overview
- **Category:** finance
- **Price:** Free
- **Endpoint:** https://edge.vinkius.com/vk_preview_iJ9UCuMEwK3UOMZghzfJFNxLOVw3wWLeqEltYeKv/ai-agent-connect
- **Tags:** pricing, wine, elasticity, revenue, retail-optimization

## Description

This MCP server provides advanced decision-support tools for wine retailers to optimize pricing strategies. By utilizing a demand elasticity model, it allows AI agents to calculate the price elasticity coefficient, identify the revenue-maximizing price point, and predict the volume impact of price adjustments. It includes specialized tools like `calculate_elasticity` to determine demand sensitivity, `optimize_revenue_price` to find the ideal price, `analyze_competitor_positioning` to benchmark against the market, and `simulate_volume_impact` to forecast sales changes based on consumer segments.

## Tools

### analyze_competitor_positioning
Evaluates how a wine is positioned relative to market competitors

### calculate_elasticity
Determines the current price elasticity coefficient for a specific wine

### optimize_revenue_price
Identifies the ideal price point to maximize total revenue

### simulate_volume_impact
Predicts the specific change in unit sales volume resulting from a proposed price adjustment

## Prompt Examples

**Prompt:** 
```
What is the price elasticity for wine ID 'chateau-2024' based on this history: [{'price': 20, 'salesVolume': 100}, {'price': 22, 'salesVolume': 80}]?
```

**Response:** 
```
The price elasticity coefficient for chateau-2024 is 1.0, indicating unit-elastic demand.
```

**Prompt:** 
```
If I raise the price of my Merlot from $15 to $18, how much will my sales volume change?
```

**Response:** 
```
The sales volume is expected to decrease by 15%, resulting in a new predicted velocity of 85 units per period.
```

**Prompt:** 
```
How is my wine positioned if my price is $25 and competitors are priced at [22, 24, 26, 23]?
```

**Response:** 
```
Your wine is positioned as 'Premium' with a price index of 1.04 relative to the market average.
```

## Frequently Asked Questions

**How does the tool calculate price elasticity?**
The `calculate_elasticity` tool derives the coefficient by analyzing the relationship between historical price changes and the resulting changes in sales volume.

**Can I account for different consumer segments?**
Yes, you can use the `simulate_volume_impact` tool with a segment sensitivity multiplier to adjust predictions for Budget, Standard, Premium, or Luxury segments.

**How do I find the best price for my wine?**
You can use the `optimize_revenue_price` tool, which takes the current price, elasticity, and sales velocity to identify the price point that maximizes total revenue.