Systems and methods for finding an interaction subset within a set of interactions

    公开(公告)号:US11551243B2

    公开(公告)日:2023-01-10

    申请号:US17541856

    申请日:2021-12-03

    申请人: Nice Ltd.

    摘要: A method and system for analyzing interactions (for example between a person and an organization) may include for a number of series of interactions (which may be termed journeys), each interaction represented by a channel and a reason, iterating over the series of interactions by selecting initial information including an interaction subset including one or more interactions, and if there is a set of interaction series among the series of interactions meeting certain conditions, adding an interaction to the interaction subset and determining in a recursive fashion if for the interaction subset, there is a subset among the set of interaction series meeting the conditions which also meet the conditions. Conditions may include a threshold average rating for the set of interaction series, and a threshold number of interaction series in which the interaction subset is found.

    Systems and methods for finding an interaction subset within a set of interactions

    公开(公告)号:US11232463B2

    公开(公告)日:2022-01-25

    申请号:US16106075

    申请日:2018-08-21

    申请人: Nice Ltd.

    摘要: A method and system for analyzing interactions (for example between a person and an organization) may include for a number of series of interactions (which may be termed journeys), each interaction represented by a channel and a reason, iterating over the series of interactions by selecting initial information including an interaction subset including one or more interactions, and if there is a set of interaction series among the series of interactions meeting certain conditions, adding an interaction to the interaction subset and determining in a recursive fashion if for the interaction subset, there is a subset among the set of interaction series meeting the conditions which also meet the conditions. Conditions may include a threshold average rating for the set of interaction series, and a threshold number of interaction series in which the interaction subset is found.

    SYSTEM AND METHOD FOR GENERATING JOURNEY EXCELLENCE SCORE

    公开(公告)号:US20200013068A1

    公开(公告)日:2020-01-09

    申请号:US16029023

    申请日:2018-07-06

    申请人: NICE LTD.

    IPC分类号: G06Q30/00 H04M3/22 H04M3/51

    摘要: A system and method for calculating a journey excellence score (JES) for a customer journey in a contact center, including, during a training phase: representing each of a plurality of tagged customer journeys by a list of attributes and a value associated with each of the attributes, wherein each of the tagged customer journeys is tagged with respect to a dissatisfaction indicator, and training a model using the plurality of tagged customer journeys, based on the associated values and tags, to generate model weights; and at runtime: obtaining the customer journey; representing the customer journey by the list of attributes and a value associated to each of the attributes; and calculating the JES for the customer journey by applying the model weights to the associated values.

    System and method for generating journey excellence score

    公开(公告)号:US11816676B2

    公开(公告)日:2023-11-14

    申请号:US16029023

    申请日:2018-07-06

    申请人: NICE LTD.

    IPC分类号: G06Q30/01 H04M3/51 H04M3/22

    摘要: A system and method for calculating a journey excellence score (JES) for a customer journey in a contact center, including, during a training phase: representing each of a plurality of tagged customer journeys by a list of attributes and a value associated with each of the attributes, wherein each of the tagged customer journeys is tagged with respect to a dissatisfaction indicator, and training a model using the plurality of tagged customer journeys, based on the associated values and tags, to generate model weights; and at runtime: obtaining the customer journey; representing the customer journey by the list of attributes and a value associated to each of the attributes; and calculating the JES for the customer journey by applying the model weights to the associated values.