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Analyze e-commerce data to uncover customer, product, delivery, and sales insights.
Copy the install command and let the AI configure it · recommended for beginners
No copy-paste install info for "Commerce MCP Server" yet — see the docs or source repo.
Analyze this month’s e-commerce GMV, order volume, average order value, repeat purchase rate, and refund rate. Identify the three metrics with the biggest month-over-month changes and explain possible reasons.
A summary of core KPIs, month-over-month comparisons, and key explanations for major changes.
Segment customers by purchase frequency, spending, and recency. Identify high-value customers, at-risk customers, and new customers, then provide actions for each group.
Customer segments, their defining traits, and actionable retention or growth recommendations.
Review the top 20 best-selling products by ratings, refunds, and delivery performance. Find products with high negative review rates or serious shipping delays, and rank them by impact.
A ranked list of problematic products, issue diagnosis, impact assessment, and optimization priorities.
Connect to e-commerce systems to query products, orders, and store data.
Run marketing analysis, campaign planning, and promotion automation tasks.
Provide AI agents with business context for e-commerce operations workflows.
Manage e-commerce products with CRUD, AI descriptions, and MySQL via MCP.
Search e-commerce entities and analyze market trends through the Cart intelligence API.
Query read-only Chinese e-commerce business data for ads, orders, and products.