This research introduces an innovative framework leveraging Large Language Models to transform risk assessment in logistics hub networks, crucial for today's volatile global supply chains.

• Combines LLMs with domain expertise to analyze unstructured data for comprehensive risk assessment
• Addresses critical VUCA challenges (Volatility, Uncertainty, Complexity, Ambiguity) in modern logistics networks
• Enhances decision-making through improved capture and analysis of diverse risk factors
• Supports sustainable and energy-efficient supply chain development

For engineering teams, this approach offers a powerful new tool to navigate complex deployment decisions while balancing security concerns, environmental sustainability, and operational efficiency.

Leveraging Large Language Models for Risk Assessment in Hyperconnected Logistic Hub Network Deployment