Last week, Daniel Müllerklein gave a presentation on “A supervised machine learning approach for replenishment policy decisions under transportation disruption uncertainty” at the IFORS Conference in Santiago, Chile. At one of the largest conferences on Operations research, researchers from around the world discussed recent results in the field of, e.g., operations research and machine learning and their applications.