SYSTEMS AND METHODS FOR RECOMMENDING DIALOG FLOW MODIFICATIONS AT A CONTACT CENTER

    公开(公告)号:US20240267464A1

    公开(公告)日:2024-08-08

    申请号:US18105075

    申请日:2023-02-02

    Applicant: KORE.AI, INC.

    CPC classification number: H04M3/5175 G06F40/40 H04M2203/402

    Abstract: A contact center server manages conversation data for a plurality of conversations between agent devices and customer devices and provides to the agent devices, one or more automated response recommendations to one or more customer messages by executing one or more dialog flows. The contact center server, using a classification model, determines for each of the one or more customer messages when there are one or more changes between the corresponding one or more automated response recommendations and corresponding one or more agent responses. Further, the contact center server associates one or more tags to the one or more agent responses when the one or more changes are determined. Subsequently, the contact center server identifies one or more patterns in the one or more tags associated to the one or more agent responses and provides one or more flow modification recommendations to the one or more dialog flows to one or more enterprise user devices based on the identified one or more patterns.

    Hardphone, method for implementing traffic operation, call center system, and storage medium

    公开(公告)号:US11917106B2

    公开(公告)日:2024-02-27

    申请号:US17773991

    申请日:2020-10-09

    Inventor: Huasheng Liang

    Abstract: A hard phone, a method for implementing a traffic operation, a call center system, and a non-transitory computer-readable storage medium. The hard phone may include: a processing module (11), an input module (12), a sending module (13), a display device (14), and a receiving module (15). The display device (14) displays different types of traffic operation instructions such that a user carries out selection. The input module (12) receives the traffic operation instruction inputted by the user and an identity identification of a target attendant, and transmit to the processing module (11). The processing module (11) processes the traffic operation instruction and the identity identification according to a preset protocol, and then transmit same to the sending module (13), and send to a server via the sending module (13). The receiving module (15) receives and transmit the execution result to the processing module (11).

    Real-time agent assistance using real-time automatic speech recognition and behavioral metrics

    公开(公告)号:US11743384B2

    公开(公告)日:2023-08-29

    申请号:US18059739

    申请日:2022-11-29

    Applicant: NICE LTD.

    Abstract: A method of assisting an agent in real-time includes receiving a call interaction between a customer and an agent; identifying words spoken in the call interaction; providing the words to a behavioral models module; computing a score for a plurality of behavioral metrics; providing a phrase formed by the words to a knowledge article selection module; providing each score for the plurality of behavioral metrics to the knowledge article selection module; providing a plurality of knowledge selection rules to the knowledge article selection module; evaluating a combination of the phrase and the scores of the plurality of behavioral metrics against each of the plurality of knowledge selection rules; matching a knowledge selection rule to the combination; selecting a knowledge article associated with the matched knowledge selection rule; generating a visual representation of the selected knowledge article; and presenting in real-time the visual representation on a graphical user interface.

    SYSTEM AND METHOD FOR MEASURING AN AGENT ENGAGEMENT INDEX AND ASSOCIATING ACTIONS TO IMPROVE THEREOF

    公开(公告)号:US20230245033A1

    公开(公告)日:2023-08-03

    申请号:US17589944

    申请日:2022-02-01

    Applicant: NICE LTD.

    Abstract: A computerized-method for measuring an Agent-Engagement-Index (AEI) and associating actions to improve thereof, is provided herein. The computerized-method may operate an AEI module for an assessment of agents. The AEI module includes: (i) retrieving data from applications to derive agent's related-data and exporting the agent's related-data into data-files; (ii) operating a data-ingest module to store the agent's related-data from the data-files; (iii) operating a transform module to transform the agent's related-data by creating relational-entities and calculating metrics; (iv) operating an analytic-engine to process the relational-entities and the calculated metrics for calculating indicators and an AEI based thereon; (v) determining actions to improve the AEI based on the calculated AEI and the indicators; (vi) storing the determined actions in the data-store of agents to improve the AEI and the indicators; and (vii) upon user's request displaying the indicators and the AEI for each agent and the determined actions for each agent.

    SYSTEM AND METHOD FOR DETERMINING AN AGENT PROFICIENCY WHEN ADDRESSING CONCURRENT CUSTOMER SESSIONS AND UTILIZATION THEREOF

    公开(公告)号:US20230230014A1

    公开(公告)日:2023-07-20

    申请号:US17576952

    申请日:2022-01-16

    Applicant: NICE LTD.

    Abstract: A computerized-method for determining an agent-proficiency when addressing concurrent customer sessions via one or more channel types and utilization thereof is provided herein. The computerized-method includes operating a Concurrent-Sessions-Handling-Agent-Proficiency (CSHAP) module. The CSHAP-module includes: (a) operating an interactions-module to retrieve one or more interactions and metadata thereof of the agent; (b) for each interaction, determining if the interaction has been handled with concurrent interactions; (c) for each determined interaction as handled with concurrent interactions, checking in the metadata if the interaction has one or more defocused-events; (d) calculating a CSHAP-score for the agent based on one or more attributes from the metadata of the interaction to provide an indication as to an ability of the agent to address concurrent customer sessions; (e) storing the calculated CSHAP-score in a data-store; and (f) sending the CSHAP-score to one or more applications, to take one or more follow-up actions based on the CSHAP-score.

    Apparatuses and methods involving a contact center virtual agent

    公开(公告)号:US11700332B1

    公开(公告)日:2023-07-11

    申请号:US17543232

    申请日:2021-12-06

    Applicant: 8×8, Inc.

    Abstract: Apparatuses and methods concerning providing a data-communications contact center virtual agent are disclosed. As an example, user-data-communications between client and participant stations are facilitated as follows, which may be implemented using a data communications server and associated communications circuitry. Service request data is received from users at a participant stations, and context information is identified for user-data-communications between a client station and the participant stations based on the service request data at least one communications-specific characteristic associated with the user-data-communications. The identified context information is aggregated for the client station and used for choosing a data routing option routing data with each user at the participant stations, based on the service request data and the aggregated context information.

    Matching using agent/caller sensitivity to performance

    公开(公告)号:US10027811B1

    公开(公告)日:2018-07-17

    申请号:US15193673

    申请日:2016-06-27

    Abstract: A method, system and program product, the method comprising: obtaining for each call in one set of calls a respective pattern representing multiple different respective data fields; obtaining performance data for the respective patterns of the calls; obtaining performance data for the respective agents; determining agent performance sensitivity to call pattern performance for agents in a set of agents comprising the agent performance data correlated to call performance data for the calls the agent handles; and matching a respective one of the agents from the set of agents to one of the calls based at least in part on the performance data for the respective pattern of the one call and on the agent sensitivity to call performance for the respective one agent of the set of agents.

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