# Return Rate Analytics AI Agent Connect

> Return Rate Analytics MCP gives your AI agent direct access to your e-commerce return metrics. It calculates return rates across specific products, entire categories, and total order volumes. You can use it to spot quality issues or monitor how return trends shift over days, weeks, or months.

## Overview
- **Category:** ecommerce
- **Price:** Free
- **Endpoint:** https://edge.vinkius.com/vk_preview_aFbbZqNu3QDQ2oiT54EZQbjNWzWizCWJ2XcWIQux/ai-agent-connect
- **Tags:** returns, metrics, ecommerce, logistics, quality-control

## Description

You can stop digging through spreadsheets to find out why your return numbers are spiking. This MCP connects your AI client directly to your return data, letting you ask questions about product quality and logistics efficiency in plain English. If a specific item is failing, you can pinpoint the exact return rate for that SKU. If a whole category is underperforming, you can see that too. It also tracks historical fluctuations, so you can tell if a recent spike is a one-off event or a growing trend. Instead of manual reporting, you just ask your agent for the numbers and get the breakdown immediately.

## Tools

### get_category_return_rate
This tool identifies which product categories are seeing high return volumes. It helps you see if specific groups of items are consistently problematic.

### get_order_return_rate
This tool calculates the percentage of orders returned during a specific timeframe. Use it to get a high-level view of overall return performance.

### get_product_return_rate
This tool calculates the return rate for a single product. It is the fastest way to find quality issues with specific items.

### get_return_trends
This tool provides a historical view of return rates. It helps you detect emerging issues by looking at daily, weekly, or monthly fluctuations.

## Prompt Examples

**Prompt:** 
```
What was our overall return rate between 2024-01-01 and 2024-03-31?
```

**Response:** 
```
The overall return rate for the period from January 1st to March 31st, 2024, was 4.5%, with 1,200 total orders and 54 returns.
```

**Prompt:** 
```
Is there a specific product causing high returns? Check product ID 'PROD-999' for Q1 2024.
```

**Response:** 
```
Product PROD-999 had a return rate of 12.0% in Q1 2024, with 50 units sold and 6 units returned.
```

**Prompt:** 
```
Show me the return rate trends for the last month on a weekly basis.
```

**Response:** 
```
The weekly return rate trends for the last month were: Week 1: 3.2%, Week 2: 3.5%, Week 3: 4.1%, and Week 4: 3.8%.
```

## Capabilities

### Product Quality Audits
Your agent uses this to find specific SKUs with high return percentages.

### Category Performance Tracking
The AI checks which product groups are driving return volume.

### Trend Detection
Your agent monitors historical data to spot rising return rates.

### Order Volume Analysis
The AI calculates return percentages against total order counts for any period.

## Use Cases

### Spotting Defective Batches
Your agent checks the return rate for a specific product ID to see if a recent batch is faulty.

### Monitoring Category Health
You ask the AI to compare return rates across different product groups to find outliers.

### Analyzing Seasonal Trends
The AI uses historical trend data to see if returns are increasing during specific months.

### Reporting Return Performance
You get a quick summary of total order return percentages for any custom date range.

## Benefits

- Directly connects your AI client to return metrics.
- Identifies specific product quality issues through SKU-level data.
- Tracks return fluctuations over daily, weekly, or monthly intervals.
- Provides instant breakdowns of return rates by category and order volume.

## How It Works

Connecting this MCP to your AI client gives your agent immediate access to your e-commerce return data.

1. Connect your preferred MCP-compatible client to Vinkius.
2. The Vinkius platform hosts the MCP and manages all connections.
3. Ask your AI agent a question about your return rates or product trends.
4. The agent calls the necessary tool to fetch the specific data.
5. You receive a direct answer with the calculated metrics.

## Frequently Asked Questions

**What AI clients can I use with this MCP?**
You can use this MCP with any compatible client, including Claude, Cursor, Windsurf, and VS Code.

**How does this MCP help with product quality?**
It allows your agent to use the get_product_return_rate tool to find specific items with high return rates, which often indicates quality issues.

**Can I track return trends over time?**
Yes, the get_return_trends tool provides historical views across daily, weekly, or monthly intervals.

**Do I need to host the MCP myself?**
No, Vinkius hosts and manages the MCP for you. You just connect your client and start using the tools.

**Can I analyze returns by product category?**
Yes, the get_category_return_rate tool identifies which specific product groups are experiencing high return volumes.

**How is the return rate calculated?**
The return rate is calculated by dividing the number of orders that resulted in a return by the total number of completed orders within the specified timeframe.

**What happens if no orders were placed in the selected period?**
If no orders exist in the specified period, the return rate will be returned as zero.