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ML Predicts Container Dwell Times

ML Predicts Container Dwell Times

A data science study at a container terminal uses ML models to predict service requirements and dwell times from historical data, reducing unproductive moves. Data prep includes cargo classification and consignee deduplication. Models outperform rule-based heuristics in precision and recall across validation periods.

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