Use of Analytics Methods for Personalized Guidance
    1.
    发明申请
    Use of Analytics Methods for Personalized Guidance 审中-公开
    使用个性化指导的分析方法

    公开(公告)号:US20140143026A1

    公开(公告)日:2014-05-22

    申请号:US14083783

    申请日:2013-11-19

    Abstract: Systems and methods of automated personalized guidance include the evaluation of interaction content data. At least one automated guidance is assigned to an agent based upon the evaluation. The automated guidance is defined by at least one interaction type and at least one guidance trigger. Interaction content data is monitored to identify instances of the interaction type and the guidance trigger. Upon identification of the interaction type and the guidance trigger, the automated guidance is automatedly provided. The automated guidance is then evaluated based upon the interaction content data.

    Abstract translation: 自动化个性化指导的系统和方法包括交互内容数据的评估。 基于评估,向代理分配至少一个自动化指导。 自动引导由至少一个交互类型和至少一个引导触发器定义。 监视交互内容数据以识别交互类型和引导触发的实例。 在识别交互类型和指导触发时,自动提供自动化指导。 然后基于交互内容数据来评估自动化指导。

    Use of analytics methods for personalized guidance

    公开(公告)号:US11687866B2

    公开(公告)日:2023-06-27

    申请号:US16941173

    申请日:2020-07-28

    CPC classification number: G06Q10/06398

    Abstract: Systems and methods of automated personalized guidance include the evaluation of interaction content data. At least one automated guidance is assigned to an agent based upon the evaluation. The automated guidance is defined by at least one interaction type and at least one guidance trigger. Interaction content data is monitored to identify instances of the interaction type and the guidance trigger. Upon identification of the interaction type and the guidance trigger, the automated guidance is automatically provided. The automated guidance is then evaluated based upon the interaction content data.

    Use of analytics methods for personalized guidance

    公开(公告)号:US10740712B2

    公开(公告)日:2020-08-11

    申请号:US14083783

    申请日:2013-11-19

    Abstract: Systems and methods of automated personalized guidance include the evaluation of interaction content data. At least one automated guidance is assigned to an agent based upon the evaluation. The automated guidance is defined by at least one interaction type and at least one guidance trigger. Interaction content data is monitored to identify instances of the interaction type and the guidance trigger. Upon identification of the interaction type and the guidance trigger, the automated guidance is automatedly provided. The automated guidance is then evaluated based upon the interaction content data.

    Predictive Modeling from Customer Interaction Analysis
    4.
    发明申请
    Predictive Modeling from Customer Interaction Analysis 审中-公开
    客户互动分析的预测建模

    公开(公告)号:US20140143018A1

    公开(公告)日:2014-05-22

    申请号:US14083772

    申请日:2013-11-19

    CPC classification number: G06Q30/016 G06Q30/0201

    Abstract: Systems and methods of predictive modeling of customer interaction content data include the collection of customer interaction content data. The collected customer interaction content data is analyzed to create structured data. At least one predictive analysis algorithm is applied to the restored data. At least one prediction of an outcome is produced based upon the application of the predictive analysis algorithm. At least one automated response is generated to the at least one prediction.

    Abstract translation: 客户交互内容数据预测建模的系统和方法包括客户交互内容数据的收集。 分析收集的客户交互内容数据以创建结构化数据。 对恢复的数据应用至少一种预测分析算法。 基于预测分析算法的应用,产生结果的至少一个预测。 对至少一个预测产生至少一个自动响应。

Patent Agency Ranking