MCP For Claude Marketplace
Return Rate Analytics

Return Rate Analytics MCP Connector for Claude

A+

Analyze e-commerce return rates by order, product, category, and trends.

4 tools Official Updated Oct 1, 2026 Official Vinkius Partner
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This MCP server provides deep insights into e-commerce return metrics. It allows AI agents to monitor product quality and logistics efficiency by calculating return rates across different dimensions. Use get_order_return_rate to see overall performance, get_product_return_rate to pinpoint quality issues in specific items, get_category_return_rate to identify problematic product groups, or get_return_trends to track historical fluctuations over daily, weekly, or monthly intervals.

returnsmetricsecommercelogisticsquality-control

4 tools expose this connector's capabilities to your AI agent.

get_category_return_rate

Identifies which product categories are experiencing high return volumes

get_order_return_rate

Calculates the percentage of orders that were returned within a specific period

get_product_return_rate

Calculates the return rate for a specific product to identify quality issues

get_return_trends

Provides a historical view of return rates to detect emerging issues

See how to talk to your AI agent using Return Rate Analytics.

What was our overall return rate between 2024-01-01 and 2024-03-31?

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.

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

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

Show me the return rate trends for the last month on a weekly basis.

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%.

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.

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