Abstract: Systems and methods for facilitating the sorting of assets to sort locations. In various embodiments, a sort employee scans an asset indicia using a user device, which stores asset data corresponding to the stored asset. As the sort employee nears a sort location (e.g., a delivery vehicle) with the asset and the user device, the user device automatically communicates wirelessly with a sort location receiver to associate the asset data with data indicative of the sort location where the user deposits the asset. In various embodiments, a device may determine whether the user device is proximate the appropriate sort location for the item, and may generate an alert upon a determination that the user device is proximate an incorrect sort location.

Abstract: Systems and methods for facilitating the sorting of assets to sort locations. In various embodiments, a sort employee scans an asset indicia using a user device, which stores asset data corresponding to the stored asset. As the sort employee nears a sort location (e.g., a delivery vehicle) with the asset and the user device, the user device automatically communicates wirelessly with a sort location receiver to associate the asset data with data indicative of the sort location where the user deposits the asset. In various embodiments, a device may determine whether the user device is proximate the appropriate sort location for the item, and may generate an alert upon a determination that the user device is proximate an incorrect sort location.

Abstract: Embodiments are disclosed for autonomously predicting shipper behavior. An example method includes the following operations. One or more learning models are generated. Shipper behavior data for at least one shipper is extracted. The shipper behavior data includes a plurality of features associated with the at least one shipper scheduled to ship one or more parcels. It is predicted whether one or more shipments will be sent or arrive at a particular time based at least in part on running the plurality of features of the at least one shipper through the one or more learning models.

Abstract: Systems and methods for facilitating the sorting of assets to sort locations. In various embodiments, a sort employee scans an indicia using a user device, which stores asset data corresponding to the stored asset. As the sort employee nears a sort location (e.g., a delivery vehicle) with the asset and the user device, the user device automatically communicates wirelessly with a sort location receiver to associate the asset with data indicative of the sort location where the user deposits the asset. In various embodiments, a device may determine whether the user device is proximate the appropriate sort location for the item, and may generate an alert upon a determination that the user device is proximate an incorrect sort location.

Abstract: Embodiments are disclosed for autonomously predicting shipper behavior. An example method includes the following operations. One or more learning models are generated. Shipper behavior data for at least one shipper is extracted. The shipper behavior data includes a plurality of features associated with the at least one shipper scheduled to ship one or more parcels. It is predicted whether one or more shipments will be sent or arrive at a particular time based at least in part on running the plurality of features of the at least one shipper through the one or more learning models.

Abstract: Systems and methods for facilitating the sorting of assets to sort locations. In various embodiments, a sort employee scans an asset indicia using a user device, which stores asset data corresponding to the stored asset. As the sort employee nears a sort location (e.g., a delivery vehicle) with the asset and the user device, the user device automatically communicates wirelessly with a sort location receiver to associate the asset data with data indicative of the sort location where the user deposits the asset. In various embodiments, a device may determine whether the user device is proximate the appropriate sort location for the item, and may generate an alert upon a determination that the user device is proximate an incorrect sort location.

Abstract: Systems and methods for facilitating the sorting of assets to sort locations. In various embodiments, a sort employee scans an asset indicia using a user device, which stores asset data corresponding to the stored asset. As the sort employee nears a sort location (e.g., a delivery vehicle) with the asset and the user device, the user device automatically communicates wirelessly with a sort location receiver to associate the asset data with data indicative of the sort location where the user deposits the asset. In various embodiments, a device may determine whether the user device is proximate the appropriate sort location for the item, and may generate an alert upon a determination that the user device is proximate an incorrect sort location.

Abstract: Systems and methods for facilitating the sorting of assets to sort locations. In various embodiments, a sort employee scans an indicia using a user device, which stores asset data corresponding to the stored asset. As the sort employee nears a sort location (e.g., a delivery vehicle) with the asset and the user device, the user device automatically communicates wirelessly with a sort location receiver to associate the asset with data indicative of the sort location where the user deposits the asset. In various embodiments, a device may determine whether the user device is proximate the appropriate sort location for the item, and may generate an alert upon a determination that the user device is proximate an incorrect sort location.

Abstract: Embodiments herein provide a system and method for generating mobile mesh networks that monitor multi-package shipments. In embodiments, mobile mesh networks are created using a plurality of devices that are associated with and travel with packages in a multi-package shipment. The plurality of devices are configured to form a mesh network: some devices act as child nodes and at least one device acts as a parent node. In embodiments, the devices acting as child nodes provide information to the device acting as the parent node through the mesh network. Then, the device acting as the parent node provides information to an external device for monitoring purposes. As such, a portion or all of the packages in a multi-package shipment are monitored using the device acting as the parent node as a proxy for the packages in the multi-package shipment.

Abstract: Systems and methods for facilitating the sorting of assets to sort locations. In various embodiments, a sort employee scans an asset indicia using a user device, which stores asset data corresponding to the stored asset. As the sort employee nears a sort location (e.g., a delivery vehicle) with the asset and the user device, the user device automatically communicates wirelessly with a sort location receiver to associate the asset data with data indicative of the sort location where the user deposits the asset. In various embodiments, a device may determine whether the user device is proximate the appropriate sort location for the item, and may generate an alert upon a determination that the user device is proximate an incorrect sort location.

Abstract: Systems and methods for facilitating the sorting of assets to sort locations. In various embodiments, a sort employee scans an asset indicia using a user device, which stores asset data corresponding to the stored asset. As the sort employee nears a sort location (e.g., a delivery vehicle) with the asset and the user device, the user device automatically communicates wirelessly with a sort location receiver to associate the asset data with data indicative of the sort location where the user deposits the asset. In various embodiments, a device may determine whether the user device is proximate the appropriate sort location for the item, and may generate an alert upon a determination that the user device is proximate an incorrect sort location.

Abstract: Systems and methods for facilitating the sorting of assets to sort locations. In various embodiments, a sort employee scans an asset indicia using a user device, which stores asset data corresponding to the stored asset. As the sort employee nears a sort location (e.g., a delivery vehicle) with the asset and the user device, the user device automatically communicates wirelessly with a sort location receiver to associate the asset data with data indicative of the sort location where the user deposits the asset. In various embodiments, a device may determine whether the user device is proximate the appropriate sort location for the item, and may generate an alert upon a determination that the user device is proximate an incorrect sort location.

Abstract: Embodiments are disclosed for autonomously clustering shipping units. An example method includes accessing clustering information units from a clustering data management tool. The example method further includes extracting features from clustering information units, wherein the features are representative of one or more of the shipper behavior data and the package information. Exemplary shipping units are shippers, buildings handling packages, package delivery drivers, and package handlers. The example method further includes generating, using a shipping unit clustering learning model and the features, an output comprising cluster of shipping units. Corresponding apparatuses and non-transitory computer readable storage media are also provided.

Abstract: Embodiments are disclosed for autonomously generating volume forecasts. An example method includes accessing volume information units from a volume forecast data management tool. The example method further includes extracting features from volume information units, wherein the features are representative of one or more of a package received time, or package information. The features can be categorized by different hierarchical level information. The example method further includes generating, using a volume forecast learning model and the features, an output comprising a volume forecast for a particular hierarchical level. Corresponding apparatuses and non-transitory computer readable storage media are also provided.

Abstract: Embodiments are disclosed for autonomously predicting shipper behavior. An example method includes the following operations. One or more learning models are generated. Shipper behavior data for at least one shipper is extracted. The shipper behavior data includes a plurality of features associated with the at least one shipper scheduled to ship one or more parcels. It is predicted whether one or more shipments will be sent or arrive at a particular time based at least in part on running the plurality of features of the at least one shipper through the one or more learning models.

Abstract: Systems and methods for facilitating the sorting of assets to sort locations. In various embodiments, a sort employee scans an asset indicia using a user device, which stores asset data corresponding to the stored asset. As the sort employee nears a sort location (e.g., a delivery vehicle) with the asset and the user device, the user device automatically communicates wirelessly with a sort location receiver to associate the asset data with data indicative of the sort location where the user deposits the asset. In various embodiments, a device may determine whether the user device is proximate the appropriate sort location for the item, and may generate an alert upon a determination that the user device is proximate an incorrect sort location.

Abstract: Systems and methods for facilitating the sorting of assets to sort locations. In various embodiments, a sort employee scans an asset indicia using a user device, which stores asset data corresponding to the stored asset. As the sort employee nears a sort location (e.g., a delivery vehicle) with the asset and the user device, the user device automatically communicates wirelessly with a sort location receiver to associate the asset data with data indicative of the sort location where the user deposits the asset. In various embodiments, a device may determine whether the user device is proximate the appropriate sort location for the item, and may generate an alert upon a determination that the user device is proximate an incorrect sort location.

Abstract: Various embodiments are directed to a distributed computing task processor comprising a central computing entity and one or more mobile computing entities. The central computing entity is configured to generate task records corresponding to one or more tasks and to delegate various tasks to the one or more mobile computing entities. The mobile computing entities, in turn, are configured to complete the assigned tasks by retrieving data from various locations within a physical environment and/or by generating data locally on the mobile computing entity to be included in the task record to complete the task. The mobile computing entities may be configured to transmit the updated task records to the central computing entity for storage.

Abstract: Systems and methods for facilitating the sorting of assets to sort locations. In various embodiments, a sort employee scans an asset indicia using a user device, which stores asset data corresponding to the stored asset. As the sort employee nears a sort location (e.g., a delivery vehicle) with the asset and the user device, the user device automatically communicates wirelessly with a sort location receiver to associate the asset data with data indicative of the sort location where the user deposits the asset. In various embodiments, a device may determine whether the user device is proximate the appropriate sort location for the item, and may generate an alert upon a determination that the user device is proximate an incorrect sort location.

Abstract: Systems and methods for facilitating the sorting of assets to sort locations. In various embodiments, a sort employee scans an asset indicia using a user device, which stores asset data corresponding to the stored asset. As the sort employee nears a sort location (e.g., a delivery vehicle) with the asset and the user device, the user device automatically communicates wirelessly with a sort location receiver to associate the asset data with data indicative of the sort location where the user deposits the asset. In various embodiments, a device may determine whether the user device is proximate the appropriate sort location for the item, and may generate an alert upon a determination that the user device is proximate an incorrect sort location.