A new study at a container terminal uses historical operational data to predict pre-clearance requirements and cargo dwell times. Researchers implemented a classification system for cargo descriptions to clean inconsistent records. These models help terminal operators reduce unproductive container moves. The result is a niche application of predictive analytics for logistics efficiency.