A global logistics operator sought to evolve its station classification model from a static framework into a dynamic, data-driven decision support tool. The team introduced scenario analysis and predictive evaluation capabilities to support network-wide investment planning. By integrating operational and financial data, the new framework enables simulation of infrastructure and automation investments, supporting more informed capital allocation decisions across the global network.