MedPack AI — Hospital Supply Control Tower

MedPack AI is an AI-powered hospital supply control tower that transforms operational signals into actionable, human-governed supply decisions. The system forecasts next-24-hour hospital supply demand using XGBoost, calculates true shortage risk against usable rather than total inventory, and converts shortages into prioritized packing, transfer, replenishment, and escalation actions. At its core is an authoritative deterministic decision snapshot. Once those operational facts are established, MedPack provides three parallel decision-support paths: zero-token Local/Deterministic reasoning, a Groq-powered agentic committee, and Microsoft AI Foundry. These paths can explain and support the decision, but they do not override the authoritative shortage calculation. A RAG knowledge layer provides supporting SOPs, supplier guidance, substitutions, recall information, and escalation playbooks. The Command Center converts decisions into priorities, owners, response windows, action cards, and operational handoffs. MedPack also includes a What-If Surge Simulator for safely testing scenarios such as flu-season demand, ED surges, supplier delays, and mass-casualty events without modifying the authoritative operational decision. Human review and approval remain the final control before operational execution. MedPack AI demonstrates how forecasting, deterministic safety logic, agentic AI, RAG, Groq, Microsoft AI Foundry, simulation, and human governance can work together as a practical hospital supply control tower.