SYSTEM AND METHOD FOR AUTOGENERATED SYNTHETIC OPERATIONAL CUSTOMER SATISFACTION SCORING AND ANALYSIS

    公开(公告)号:US20240202747A1

    公开(公告)日:2024-06-20

    申请号:US18589208

    申请日:2024-02-27

    CPC classification number: G06Q30/0201

    Abstract: A system and method for autogenerated synthetic operational customer satisfaction scoring and analysis, that generates synthetic calls for a first configuration of an enterprise's customer service infrastructure components, monitors the synthetic calls for a plurality of events that may represent infrastructure related operational deficiencies that may adversely affect customer satisfaction and sentiment, assigns synthetic operational scores for each event, generates an overall synthetic operational customer satisfaction score for each synthetic call, suggests a second configuration of the enterprise's customer service infrastructure components which is likely to improve the overall score, and which, in some embodiments, uses machine learning to optimize the configurations and suggest improved configurations.

    System and method for synthesizing automated test cases from natural interactions

    公开(公告)号:US11790886B2

    公开(公告)日:2023-10-17

    申请号:US17091370

    申请日:2020-11-06

    Abstract: A system for synthesizing real IVR scenarios, automatically reproducing test scenarios, and providing accurate reports on those scenarios. An IVR tester uses a telephony device (website, mobile app, VOIP, etc.) and an automated IVR test case generator to place test calls to an IVR system. The automated IVR test case generator intercepts and collects the phone call's audio stream, dual-tone multi-frequency signals, and available metadata (e.g., response times, post-speech silence timeout, etc.). Once the call is complete, the automated IVR test case generator pre-populates a webpage or other user-interface technology and a database with the audio stream, dual-tone multi-frequency signals, and available metadata from the test scenario phone call. The IVR tester may then save that test scenario and continue to the next scenario. The saved scenario may now be used automatically by the IVR test case generator for regression testing or duplicated and edited for use in other systems.

    SYSTEM AND METHOD FOR SYNTHESIZING AUTOMATED TEST CASES FROM NATURAL INTERACTIONS

    公开(公告)号:US20220148568A1

    公开(公告)日:2022-05-12

    申请号:US17091370

    申请日:2020-11-06

    Abstract: A system for synthesizing real IVR scenarios, automatically reproducing test scenarios, and providing accurate reports on those scenarios. An IVR tester uses a telephony device (website, mobile app, VOIP, etc.) and an automated IVR test case generator to place test calls to an IVR system. The automated IVR test case generator intercepts and collects the phone call's audio stream, dual-tone multi-frequency signals, and available metadata (e.g., response times, post-speech silence timeout, etc.). Once the call is complete, the automated IVR test case generator pre-populates a webpage or other user-interface technology and a database with the audio stream, dual-tone multi-frequency signals, and available metadata from the test scenario phone call. The IVR tester may then save that test scenario and continue to the next scenario. The saved scenario may now be used automatically by the IVR test case generator for regression testing or duplicated and edited for use in other systems.

    Automated multi-channel customer journey testing

    公开(公告)号:US11010704B2

    公开(公告)日:2021-05-18

    申请号:US16189811

    申请日:2018-11-13

    Abstract: A system and method for automated multi-channel customer journey testing, that links communication channels and follows a customer interaction across multiple channels as a single journey, incorporating data and interaction content from each channel utilized to maintain a “big picture” view of a customer's journey across these channels during an interaction. The invention also provides flexible success indicators to accommodate virtual assistant and chat bot programs, by accommodating variances in expected test results such as to handle natural language variance, time of day, context, and other factors that may cause variances in interaction content.

    INTERACTIVE VOICE RESPONSE SYSTEM CRAWLER
    30.
    发明申请
    INTERACTIVE VOICE RESPONSE SYSTEM CRAWLER 审中-公开
    互动语音响应系统CRAWLER

    公开(公告)号:US20160198045A1

    公开(公告)日:2016-07-07

    申请号:US14590972

    申请日:2015-01-06

    Abstract: A system for interactive voice response system crawling, comprising an IVR crawler that may be VXML, design specification, DTMF or ASR/NLSR speech-based in nature and traverses an IVR menu to discover possible interaction paths and produces test cases based on those paths, and a database that stores test cases produced by the IVR crawler during operation, and a method for interactive voice response system crawling utilizing the IVR crawler of the invention.

    Abstract translation: 一种用于交互式语音响应系统爬行的系统,包括可以是VXML,设计规范,基于语音的DTMF或ASR / NLSR的IVR爬虫,并且遍历IVR菜单以发现可能的交互路径并且基于这些路径产生测试用例, 以及存储由操作中的IVR爬行器生成的测试用例的数据库,以及利用本发明的IVR履带式的交互式语音应答系统爬行的方法。

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