Interactive error user interface
    22.
    发明授权

    公开(公告)号:US11488175B2

    公开(公告)日:2022-11-01

    申请号:US17150735

    申请日:2021-01-15

    Applicant: eBay Inc.

    Abstract: In various example embodiments, a system and method for a proactive customer support system are provided. In some example embodiments, outgoing communications from an application server to a client device are monitored for error messages, outgoing error messages are detected, an error type for an error message is determined, an issue ticket including the error message and the error type is generated, and instructions are transmitted that cause a customer service device to display the issue ticket. In some example embodiments, the system additionally assigns a priority score and ranks open error tickets based on their respective error messages. In some example embodiments, the system provides a help message to the client device based on the error message, receives an information request from the client device, determines a reply message based on the information request, and transmits instructions to the client device to display the reply message.

    UTILIZING MACHINE LEARNING WITH SELF-SUPPORT ACTIONS TO DETERMINE SUPPORT QUEUE POSITIONS FOR SUPPORT CALLS

    公开(公告)号:US20220217060A1

    公开(公告)日:2022-07-07

    申请号:US17703644

    申请日:2022-03-24

    Abstract: In some embodiments, a queue may be monitored to perform an automated adjustment related to a data item in the queue. In some embodiments, the data item may be associated with a product or service and include a code related to an access to the product or service. Based on the code, configuration information related to the product or service may be obtained. Based on a detected change related to the product or service, an indication of a set of self-support actions may be sent to a user device. One or more self-support actions (performed via the user device) may be determined, and an adjustment related to the access to the product or service may be performed based on the determined self-support actions. In some embodiments, the adjustment related to the access to the product or service may include modifying a configuration of the access to the product or service based on the determined self-support actions.

    Automatic customer complaint resolution

    公开(公告)号:US11271796B2

    公开(公告)日:2022-03-08

    申请号:US16895993

    申请日:2020-06-08

    Applicant: TUPL INC.

    Abstract: An analytic application may automatically determine a root cause of an issue with a wireless carrier network and generate a solution for the root cause. Initially, a data management platform may receive performance data regarding user device and network components of a wireless carrier network from multiple data sources. Subsequently, the analytic application may receive an indication of an issue affecting one or more user devices that are using the wireless carrier network. The analytic application may analyze the performance data using a trained machine learning model to determine a root cause for the issue affecting the one or more user devices. The trained machine learning model may employ multiple types of machine learning algorithms to analyze the performance data. The analytic application may provide the root cause or the solution that resolves the root cause for presentation.

    Automated ticket creation and assignment for cloud-based applications

    公开(公告)号:US12177095B1

    公开(公告)日:2024-12-24

    申请号:US18358679

    申请日:2023-07-25

    Abstract: In some implementations, a remediation engine may receive an indication of the cloud-based application. The remediation engine may generate the data structure for the cloud-based application. The remediation engine may receive an indication of a corresponding user. The remediation engine may update the data structure to associate the corresponding user with the cloud-based application. The remediation engine may receive an indication of a corresponding category. The remediation engine may update the data structure to associate the corresponding category with the cloud-based application. The remediation engine may receive an indication of a first label and an indication of a first module of the cloud-based application. The remediation engine may update the data structure to associate the first label with the first module of the cloud-based application. The remediation engine may provide the data structure for processing alerts associated with the cloud-based application.

    UTILIZING MONITORING SERVICE EXPLORATION TO IMPROVE SERVICE INCIDENT MITIGATION AND LOCALIZATION

    公开(公告)号:US20240275699A1

    公开(公告)日:2024-08-15

    申请号:US18169009

    申请日:2023-02-14

    CPC classification number: H04L41/5074 G06F16/35 H04L41/069

    Abstract: The disclosure relates to utilizing a service incident resolution system to determine and mitigate service incidents in a cloud computing system. For example, based on identifying an outage ticket (e.g., a customer-impacting incident ticket), the service incident resolution system identifies additional context of the outage by detecting a number of relevant monitoring signals. For instance, the service incident resolution system utilizes various monitoring signals and service models to determine monitoring signals that are relevant to the outage ticket by efficiently selecting relevant monitor signals and filtering out noisy signals. In this way, vaguely reported outages are supplemented with rich information that enable these outages to be resolved more quickly. Additionally, the service incident resolution system may utilize service-based models to efficiently send a report of an outage to a service or mitigation team that is well-equipped to quickly address the outage.

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