shopops-mcp
Integrates with Shopify and WooCommerce to forecast inventory using AI models, optimize pricing dynamically, segment customers via RFM analysis, detect anomalies in orders, and generate operational reports. E-commerce managers, retail analysts, and developers building automated store ops use it for data-driven inventory and sales decisions.
Overview
shopops-mcp is an MCP server that serves as an AI-driven e-commerce operations manager. It connects directly to Shopify and WooCommerce platforms, pulling sales, inventory, and customer data to apply machine learning for forecasting, optimization, segmentation, anomaly detection, and reporting.
Key Capabilities
- inventory_forecast: Uses historical sales and trends to predict stock levels and reorder needs with AI time-series models.
- price_optimization: Analyzes demand elasticity, competitor data, and margins to suggest dynamic pricing adjustments.
- rfm_segmentation: Computes Recency, Frequency, Monetary scores to categorize customers into segments for targeted actions.
- order_anomaly_detection: Scans orders for unusual patterns like fraud or supply issues using statistical and ML outlier detection.
- generate_reports: Compiles dashboards and summaries on sales performance, inventory health, and customer metrics.
Use Cases
- A Shopify store owner runs inventory_forecast weekly to predict stockouts during peak seasons, adjusting purchases accordingly.
- WooCommerce merchant applies price_optimization on high-margin items to maximize revenue without losing sales volume.
- Retail analyst uses rfm_segmentation to identify top customers for retention campaigns and low-value ones for reactivation.
- Operations team deploys order_anomaly_detection to flag suspicious bulk orders, preventing fraud losses.
Who This Is For
E-commerce platform administrators managing Shopify or WooCommerce stores, data analysts in retail focused on sales forecasting and customer insights, and developers integrating AI ops into custom dashboards or automation pipelines.