How can companies gain full visibility across increasingly complex supply chains and make better decisions faster? The first use case in Lufthansa Industry Solutions' new series explores how Agentic AI can connect data, systems, and processes to support more resilient and efficient supply chain operations.
Norderstedt, August 14, 2026 – Volatile markets, global supply networks, and a growing number of distributed data sources are increasing the complexity of modern supply chains. Companies face the challenge of providing fast access to relevant information, identifying risks at an early stage, and responding flexibly to disruptions.
The first Lufthansa Industry Solutions (LHIND) use case shows how Agentic AI can help address these challenges. The focus is on an AI-based supply chain agent that brings together information from different systems, places it into a meaningful business context, and supports employees in decision-making. This enables organizations to identify potential risks, bottlenecks, and optimization opportunities at an early stage and derive appropriate courses of action.
The approach creates transparency across critical events along the supply chain and helps companies respond more quickly to change, make better-informed decisions, and maximize the value of their existing IT landscape.
Launch of a Five-Part Use Case Series
With the use case on Agentic AI, LHIND is launching a five-part series on digital supply chain solutions for mobility and logistics. Through selected use cases, the series demonstrates how modern technologies can help companies make their processes more efficient, transparent, and resilient.
The detailed use case, "How Agentic AI Enables Better Decisions in Complex Supply Chains," describes the underlying scenario, key challenges, and potential benefits of an agent-based approach and is now available as a PDF download.
