Leveraging Agentic AI and Cloud Infrastructure for Predictive Logistics in National Food Supply Chains

Abstract

Long-term problems of food supply chain management include supplier selection, transportation, and supply chain structure planning. Due to the integration of advanced technologies in food supply chain design, new challenges arise for supply chain robustness in consumer-driven behavior and climate change. AI algorithms will be absolutely necessary to assess the avoidable variability in food supply chains. Agents with their own objectives and preferences form networks. The evolution and robustness of networks can be simulated using agent-based models. As an advanced manufacturability and a complex food supply chain, a multi-agent system was built. A cloud-based platform allows agents in different locations to collaborate while keeping their data private. This research shows that cloud infrastructure simplifies and accelerates collaboration in a blockchain system.