OPERATION MANAGEMENT APPARATUS
    35.
    发明公开

    公开(公告)号:US20240135277A1

    公开(公告)日:2024-04-25

    申请号:US18488270

    申请日:2023-10-16

    摘要: An operation management apparatus operates one or more vehicles by automated driving. The operation management apparatus includes a controller configured to predict, for each vehicle based on operation plan data, a time point at which driving is switched from automated driving to manual driving, identify, as a target vehicle, a vehicle for which time until the predicted time point is less than a threshold value, acquire vehicle data and/or operation record data, determine, based on the acquired vehicle data or the acquired operation record data, one or more types of abnormality having occurred in the target vehicle, designate, from among a plurality of workers according to the determined types of abnormality, a first worker who is to perform a maintenance operation on the target vehicle at a site near the target vehicle, and notify the first worker of information that prompts the first worker to take care of the abnormality.

    CONTACT CENTER SYSTEM
    36.
    发明公开

    公开(公告)号:US20240129407A1

    公开(公告)日:2024-04-18

    申请号:US18381903

    申请日:2023-10-19

    申请人: Afiniti, Ltd.

    IPC分类号: H04M3/51

    摘要: A pairing module comprising a memory storing contact center information that i) identifies a first set of available agents that are available to be paired with a contact and ii) identifies a first set of available contacts that are waiting to be paired with an available agent. The pairing module further comprises a contact/agent (C/A) pair selector that functions occasionally read the memory to obtain contact center information and then use the obtained contact center information to pair available agents with available contacts.

    METHOD AND PLATFORM FOR PROVIDING CURATED WORK OPPORTUNITIES

    公开(公告)号:US20240127142A1

    公开(公告)日:2024-04-18

    申请号:US18485507

    申请日:2023-10-12

    发明人: Tommy Pease

    IPC分类号: G06Q10/0631

    CPC分类号: G06Q10/063112

    摘要: The present disclosure provides a platform for providing curated work opportunities. The platform receives contractor bid data comprising information related to work a contractor is interested in performing, and contractor legacy data relating to one or more past work opportunities associated with the contractor. The contractor requests a recommendation of one or more work opportunities for which the contractor should apply. The platform associates the contractor bid data and the contractor legacy data with one or more learned contractor profiles trained by an Artificial Intelligence engine, establishes one or more parameters for assessing the plurality of candidate work opportunities based at least in part on one or more of the contractor bid data or the contractor legacy data, and analyzes each of a plurality of candidate work opportunities based on the parameters. Thereafter the platform provides a recommendation of one or more of the candidate work opportunities to the contractor.

    Qualification-Based Task Management
    38.
    发明公开

    公开(公告)号:US20240127140A1

    公开(公告)日:2024-04-18

    申请号:US18359930

    申请日:2023-07-27

    摘要: Techniques for implementing a qualification-based task management system in a work environment are disclosed. When a user logs in to a work center terminal, a system identifies a set of pending tasks that need to be completed. The system filters the tasks available to the user based on the user's qualifications and the equipment present at the work center. When the system identifies a task for which there is not a set of users with matching qualifications, the system applies a machine learning model to the task parameters to identify candidate users or recommended qualifications for performing the task.

    Generating and providing team member recommendations for content collaboration

    公开(公告)号:US11948104B2

    公开(公告)日:2024-04-02

    申请号:US17354187

    申请日:2021-06-22

    申请人: Dropbox, Inc.

    发明人: Jiarui Ding

    摘要: The present disclosure is directed toward systems, methods, and non-transitory computer readable media for identifying and recommending team members for target users from a content management system utilizing a machine learning approach. In particular, the disclosed systems can generate a set of candidate team members from among users of the content management system based on various factors such as access to a common digital content item. In some embodiments, the disclosed systems further determine recommended team members from among the set of candidate team members. For example, the disclosed systems can utilize a machine learning approach to generate or predict recommended team members based on particular features extracted or determined for, or with respect to, the various candidate team members. In certain implementations, the disclosed systems further provide a recommended-team-member notification to notify a target user of a recommended team member.