Real-time parcel delivery management in an internet of things (IoT) computing environment

A system for managing real time parcel delivery in an internet of things (IoT) computing environment, comprising:

• one or more computers with executable instructions that when executed cause the system to:
• monitor behavioral data of a recipient over a selected time period using one or more IoT computing devices, wherein the monitored behavioral data is stored;
• execute machine learning logic to develop a behavioral data model trained according to the monitored behavioral data, wherein the trained behavioral data model identifies patterns of events and schedules of the recipient;
• select one or more intercepting locations to replace an originally scheduled location for real-time delivery of a parcel to the recipient using the one or more IoT computing devices and the trained behavioral data model, wherein the one or more intercepting locations comprise an impromptu and mutually-agreeable location, between a delivery service and the recipient, on an existing parcel route of the delivery service in which the recipient will predictively and temporarily be located during a course of deliveries on the parcel route, and wherein the one or more intercepting locations are derived by recursively parsing real-time local device data from the one or more IoT computing devices to obtain real-time location data and predicted future location data of the recipient according to the trained behavioral data model;
• and
• arrange with a delivery service the real-time delivery of the parcel to the one or more intercepting locations, notwithstanding whether the delivery service employs or utilizes a person to accomplish the real-time delivery of the parcel.

A non-transitory computer-readable storage medium containing computer-readable program code having executable portions for managing real time parcel delivery in an internet of things (IoT) computing environment, the executable portions, when executed by a processor, causing the processor to perform the executable portions that comprise:

• an executable portion that monitors behavioral data of a recipient over a selected time period using one or more IoT computing devices, wherein the monitored behavioral data is stored;
• an executable portion that executes machine learning logic to develop a behavioral data model trained according to the monitored behavioral data, wherein the trained behavioral data model identifies patterns of events and schedules of the recipient;
• an executable portion that selects one or more intercepting locations to replace an originally scheduled location for real-time delivery of a parcel to the recipient using the one or more IoT computing devices and the trained behavioral data model, wherein the one or more intercepting locations comprise an impromptu and mutually-agreeable location, between a delivery service and the recipient, on an existing parcel route of the delivery service in which the recipient will predictively and temporarily be located during a course of deliveries on the parcel route, and wherein the one or more intercepting locations are derived by recursively parsing real-time local device data from the one or more IoT computing devices to obtain real-time location data and predicted future location data of the recipient according to the trained behavioral data model;
• and
• an executable portion that arranges with a delivery service the real-time delivery of the parcel to the one or more intercepting locations, notwithstanding whether the delivery service employs or utilizes a person to accomplish the real-time delivery of the parcel.