Abstract: A shipping management system comprising a memory configured with shipping records representing shipments from a plurality of carriers and scheduling rules that specify a plurality of update frequencies. The shipping management system comprises a processor coupled to the memory. The shipping management system comprises a non-transitory computer readable medium comprising a set of computer executable instructions, the computer executable instructions executable by the processor to dynamically schedule, according to the scheduling rules, updates to update the shipping records; based on the dynamic scheduling, issue update application programming interface (API) calls according to APIs of carrier systems of respective carriers to request shipment data for the shipments; and update the shipping records based on the shipment data returned in response to the API calls.

Abstract: A shipping management system comprises a memory configured with a set of carrier-specific mapping rules for a plurality of carriers.

Abstract: A computer system that queries a carrier computer system of a carrier associated with a shipment to determine whether delivery appointment scheduling is available for the shipment, based on a determination that the delivery appointment scheduling is available, generates and transmits a link for a dynamically generated web page to the recipient; receives a signal indicating activation of the link; obtains scheduling information for the shipment from the carrier computer system; dynamically generates page code for the web page and transmits the web page to a client, the web page displaying information associated with the shipment and digital assets that visually correspond to the shipper of the shipment and including a scheduling tool; receives a selection of a time slot from the scheduling tool; and communicates with the carrier computer system to update the carrier computer system with the time slot to schedule delivery of the shipment to the recipient.

Abstract: 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.

Abstract: A computer system that queries a carrier computer system of a carrier associated with a shipment to determine whether delivery appointment scheduling is available for the shipment, based on a determination that the delivery appointment scheduling is available, generates and transmits a link for a dynamically generated web page to the recipient; receives a signal indicating activation of the link; obtains scheduling information for the shipment from the carrier computer system; dynamically generates page code for the web page and transmits the web page to a client, the web page displaying information associated with the shipment and digital assets that visually correspond to the shipper of the shipment and including a scheduling tool; receives a selection of a time slot from the scheduling tool; and communicates with the carrier computer system to update the carrier computer system with the time slot to schedule delivery of the shipment to the recipient.

Abstract: 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.

Abstract: A shipping management system comprises a memory configured with a set of carrier-specific mapping rules for a plurality of carriers.

Abstract: A shipping management system comprises a memory configured with a set of carrier-specific mapping rules for a plurality of carriers.

Abstract: 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.

Abstract: A computer system that queries a carrier computer system of a carrier associated with a shipment to determine whether delivery appointment scheduling is available for the shipment, based on a determination that the delivery appointment scheduling is available, generates and transmits a link for a dynamically generated web page to the recipient; receives a signal indicating activation of the link; obtains scheduling information for the shipment from the carrier computer system; dynamically generates page code for the web page and transmits the web page to a client, the web page displaying information associated with the shipment and digital assets that visually correspond to the shipper of the shipment and including a scheduling tool; receives a selection of a time slot from the scheduling tool; and communicates with the carrier computer system to update the carrier computer system with the time slot to schedule delivery of the shipment to the recipient.

Abstract: A shipping management system comprising a memory configured with shipping records representing shipments from a plurality of carriers and scheduling rules that specify a plurality of update frequencies. The shipping management system comprises a processor coupled to the memory. The shipping management system comprises a non-transitory computer readable medium comprising a set of computer executable instructions, the computer executable instructions executable by the processor to dynamically schedule, according to the scheduling rules, updates to update the shipping records; based on the dynamic scheduling, issue update application programming interface (API) calls according to APIs of carrier systems of respective carriers to request shipment data for the shipments; and update the shipping records based on the shipment data returned in response to the API calls.

Abstract: A shipping management system comprises a memory configured with a set of carrier-specific mapping rules for a plurality of carriers.