Embodiments provide systems, methods and computer program products for artificial intelligence-based detection of delays in a shipping network that include training a machine learning model using a training set of in-flight snapshots to infer, based on a set of predictive features, whether a shipment having an estimated delivery dates will meet the estimated delivery date. The machine learning model represents a set of shipment statuses, a set of timings relative estimated delivery dates, and a set of shipment outcomes of the plurality of historical shipments.