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Answer retail analytics questions with natural-language reasoning over SQL and RAG.
Copy the install command and let the AI configure it · recommended for beginners
No copy-paste install info for "Retail Analytics Agent" yet — see the docs or source repo.
Analyze store performance in East China over the last 30 days. Rank stores by revenue, order count, and average order value, and identify the best and worst performers with possible reasons.
A ranked store performance analysis with key anomalies, trend summaries, and likely explanations.
Why did ready-to-drink coffee sales decline month over month this month? Analyze using sales volume, inventory, promotions, and customer feedback.
An explanation of the main drivers behind the category decline using both structured data and text evidence.
Based on the last 8 weeks of regional sales, stockout rates, and holiday trends, provide restocking and promotion recommendations for key products next week.
A regional action list with product priorities, restocking levels, promotion ideas, and brief rationale.
Query e-commerce SQLite data safely and answer business analytics questions.
Query e-commerce data in natural language through an agent-orchestrated MCP server.
Analyze e-commerce data to uncover customer, product, delivery, and sales insights.
Manage RetailCRM orders, customers, products, and analytics through one MCP server.
Build and query vector knowledge bases for semantic search and RAG workflows.
Intelligent RAG tool that chooses between private knowledge and web search.