Real-time tracking of parcels in a facility

    公开(公告)号:US12134111B2

    公开(公告)日:2024-11-05

    申请号:US18227090

    申请日:2023-07-27

    Abstract: Read events capturing parcel information as a parcel is transported through a facility is received, and a configuration file mapping readers capturing the read events to workspace locations within the facility is accessed. Utilizing the read events and configuration file, one or more locations are determined for a parcel being transported through a facility. The locations may form a most likely path, or sequence of locations, through the facility. The determined locations may be utilized for generating one or more graphical user interface elements for tracking parcel and/or other operational aspects. For example, a graphical user interface may indicate errors, such as errors in the parcel's path and slowdowns, detected from the read events. Additionally, volume of parcels over time may be determined from the read events. Further, a graphical user interface may indicate employee performance based on errors and/or read events attributed to the employee.

    Weighted event forest
    13.
    发明授权

    公开(公告)号:US12124429B2

    公开(公告)日:2024-10-22

    申请号:US18379039

    申请日:2023-10-11

    Abstract: Embodiments of the present disclosure are directed to specific, networked, and technological processes and operations. For example, various embodiments are directed to a distributed and collaborative planning tool that allows users to create events based on a presently-approved production plan, enable/disable events submitted by other users, submit proposals, approve proposals, and integrate proposals to update the presently-approved production plan. An event published by a first user is communicated to other users using a single, universal framework that tracks and communicates proposed changes between remote users and their associated client devices during the planning cycle without the need to store multiple iterations of full-size production plans.

    ASSET RETURN TECHNOLOGY
    14.
    发明公开

    公开(公告)号:US20240320610A1

    公开(公告)日:2024-09-26

    申请号:US18679147

    申请日:2024-05-30

    Inventor: Juan PEREZ

    Abstract: One or more identifiers are received based on an electronic scan of computer-readable indicia. The computer-readable indicia being coupled to an asset. The asset is associated with one or more shipping operations. Based at least in part on the one or more identifiers, it is determined that the asset is requested for return. Based at least in part on the one or more identifiers, a shipping label corresponding to a destination location for the asset to be returned to is automatically generated or a location for the asset to be delivered to is automatically changed.

    SYSTEMS, METHODS, AND APPARATUSES FOR LOADING, ROTATING, AND TRANSFERRING OBJECTS IN AN AUTOMATED OR SEMI-AUTOMATED FASHION

    公开(公告)号:US20240270506A1

    公开(公告)日:2024-08-15

    申请号:US18437015

    申请日:2024-02-08

    CPC classification number: B65G47/244

    Abstract: Various embodiments described herein provide apparatuses, systems, methods, technologies, and/or the like for loading, re-orienting, and/or transferring objects in an automated or semi-automated fashion. Accordingly, various embodiments enable such automated and/or semi-automated loading, re-orienting, and/or transferring of objects in different environments such as mobile environments, stationary environments, and/or the like. Various embodiments involve a supply apparatus that is used to load objects onto a re-orienting apparatus. Additionally, or alternatively, various embodiments involve a re-orienting apparatus that is used to rotate objects from an initial orientation to a desired orientation. Additionally, or alternatively, various embodiments involve a pushing mechanism that is used to transfer objects from a re-orienting apparatus to a downstream apparatus.

    Systems and methods for providing delivery time estimates

    公开(公告)号:US11966875B2

    公开(公告)日:2024-04-23

    申请号:US16914017

    申请日:2020-06-26

    CPC classification number: G06Q10/0833 G06F16/29 G06Q10/0838

    Abstract: Embodiments are disclosed for determining delivery confidence intervals. An example method for determining a confidence interval includes the following operations. Delivery information is received from one or more sources, wherein the delivery information comprises data associated with at least one predefined location perimeter. The data associated with the at least one predefined location perimeter is normalized. The normalized data is categorized into training data used to perform a deep neural network regression analysis. A predicted delivery confidence interval is determined by constructing a predictive learning model by conducting a regression of the data using deep neural network regression. The predicted delivery confidence interval is stored in a results table in association with the predefined location perimeter. And, upon receiving a request from a visibility management system, accessing the results table to provide predicted delivery windows to consignees.

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