FastMCP Supply Chain Optimizer

Demonstrates real-time supply chain optimization using Google Gemini for intelligent decision-making across inventory management, warehouse transfers, and reorder recommendations through a Flask web interface that processes supply chain events from CSV data and executes parallel tool calls for optimization decisions.

FastMCP server implementation by ANSH-RIYAL that demonstrates real-time supply chain optimization using Google Gemini AI for intelligent decision-making across inventory management, warehouse transfers, and reorder recommendations. The implementation processes supply chain events (demand spikes, delays, cost increases) from CSV data through a Flask web interface, using MCP tools for inventory status checking, stock transfer calculations, stockout predictions, and automated reorder suggestions, with Gemini AI analyzing events and executing parallel tool calls for optimization decisions. Built with a complete web dashboard featuring terminal output and action logging, it serves as both a functional supply chain management system and a demonstration of how MCP can integrate AI-powered decision-making with real-time business operations, making it valuable for supply chain managers, logistics coordinators, and developers building AI-driven inventory optimization systems.