New tariffs, geopolitical tensions, and disruptions across global supply chains can rapidly alter established logistics networks. To remain competitive, organizations must continuously reassess their supply networks and make critical decisions in an increasingly uncertain environment.
Norderstedt, September 1, 2026 – The third use case in Lufthansa Industry Solutions’ (LHIND) new series demonstrates how data-driven optimization can help organizations adapt complex supply networks to changing market conditions. For a global aviation parts distributor, LHIND developed a solution that simulates alternative network and sourcing scenarios and evaluates their impact on costs, inventory levels, and service performance.
The use case illustrates how organizations can gain greater visibility into the interdependencies within their supply chains and make more informed decisions on inventory, costs, and service levels. The simulations highlight the potential to significantly accelerate responses to market changes and improve the adaptability of global logistics networks.
At the same time, the example demonstrates that data-driven network optimization extends far beyond aviation. Similar challenges exist across logistics, manufacturing, retail, automotive, and spare-parts supply chains, where companies must balance resilience, efficiency, and customer service in an increasingly dynamic environment.
Third Use Case in a Five-Part Series
With its five-part series on digital solutions for mobility, logistics, and supply chains, LHIND showcases how organizations can leverage data-driven technologies to address complex operational challenges and strengthen their supply chain performance.
The use case, “Rethinking Supply Networks: Faster Decision-Making in Volatile Markets”, demonstrates how scenario simulation and data-driven optimization can help organizations make better-informed decisions, increase agility, and enhance supply chain resilience.
