Systems and methods relating to predictive routing and occupancy balancing

    公开(公告)号:US11778099B2

    公开(公告)日:2023-10-03

    申请号:US17740061

    申请日:2022-05-09

    CPC classification number: H04M3/5233 G06Q10/06393 H04M3/5238

    Abstract: A method of routing interactions to contact center agents according to an embodiment includes identifying an interaction to be routed to a contact center agent, identifying a group of contact center agents as candidates for routing of the interaction, retrieving agent performance data for each candidate agent of the group of contact center agents identified as candidates for routing of the interaction, determining a predicted score for a key performance indicator for each candidate agent based on the agent performance data, determining an occupancy rate of each candidate agent based on the agent performance data, generating a ranking of the candidate agents for routing prioritization based on the predicted score for the key performance indicator for each candidate agent and the occupancy rate of each candidate agent, and signaling a routing device to route the interaction to a selected candidate agent based on the ranking of the candidate agents.

    SYSTEM AND METHOD FOR IMPROVEMENTS TO PRE-PROCESSING OF DATA FOR FORECASTING

    公开(公告)号:US20230300248A1

    公开(公告)日:2023-09-21

    申请号:US18323383

    申请日:2023-05-24

    CPC classification number: H04M3/5175 H04M3/5183 H04L67/10

    Abstract: An on-premises system for pre-processing data for forecasting according to an embodiment includes at least one processor and at least one memory having a plurality of instructions stored thereon that, in response to execution by the at least one processor, causes the on-premises system to receive a request to forecast contact center data using a cloud system, determine a first number of interactions per unit of time for a source interval, determine a second number of units of time in a destination interval, and determine a third number of interactions in the destination interval based on the first number of interactions per unit of time for the source interval and the second number of units of time in the destination interval.

    System and method for improvements to pre-processing of data for forecasting

    公开(公告)号:US11700328B2

    公开(公告)日:2023-07-11

    申请号:US17880452

    申请日:2022-08-03

    CPC classification number: H04M3/5175 H04M3/5183 H04L67/10

    Abstract: An on-premises system for pre-processing data for forecasting according to an embodiment includes at least one processor and at least one memory having a plurality of instructions stored thereon that, in response to execution by the at least one processor, causes the on-premises system to receive a request to forecast contact center data using a cloud system, determine a first number of interactions per unit of time for a source interval, determine a second number of units of time in a destination interval, and determine a third number of interactions in the destination interval based on the first number of interactions per unit of time for the source interval and the second number of units of time in the destination interval.

    REAL-TIME AGENT ASSIST
    16.
    发明公开

    公开(公告)号:US20230208971A1

    公开(公告)日:2023-06-29

    申请号:US17564708

    申请日:2021-12-29

    CPC classification number: H04M3/5116 G06F40/30 G06F40/279

    Abstract: A system for real-time agent assist in a crisis scenario according to an embodiment includes at least one processor and at least one memory comprising a plurality of instructions stored thereon that, in response to execution by the at least one processor, causes the system to receive an information request from a contact center client, evaluate the information request using natural language understanding to determine a knowledge fragment associated with the information request, analyze the knowledge fragment based on a crisis knowledge base of the system with respect to at least one of a confidence in the knowledge fragment, a veracity of the knowledge fragment, a frequency of the knowledge fragment, or a proximity of the knowledge fragment to the crisis scenario, and generate a response to the contact center client in response to analysis of the knowledge fragment based on the crisis knowledge base.

    SYSTEMS AND METHODS RELATING TO MANAGING CROSS-CHANNEL INTERACTIONS IN CONTACT CENTERS

    公开(公告)号:US20230188646A1

    公开(公告)日:2023-06-15

    申请号:US17551892

    申请日:2021-12-15

    CPC classification number: H04M3/5191 H04M3/5141 H04M3/42068 H04L51/046

    Abstract: A method facilitating a cross-channel interaction between a customer and a contact center. The method includes: receiving and conducting a first interaction with the customer; determining a first identifier related to the first interaction; storing, in a database, the first identifier and associating the first identifier with the first interaction; receiving a second interaction from the customer; determining a second identifier related to the second interaction; using the second identifier to check the database to determine if the second interaction is associated with the first interaction; determining, based on the check of the database, that the second interaction is contextually related with the first interaction; and modifying, in response to determining that the second interaction is contextually related to the first interaction, at least one way in which the second interaction is handled by the contact center.

    SYSTEMS AND METHODS RELATING TO EVALUATING AND MEASURING AN EXPERIENCE USING AN EXPERIENCE INDEX

    公开(公告)号:US20230058543A1

    公开(公告)日:2023-02-23

    申请号:US17890952

    申请日:2022-08-18

    Abstract: A method for measuring experience quality. The method including: receiving key experience aspects (“KEAs”); administering pre-surveys to a representative subset of the experience audience, including an importance pre-survey requesting relative importance between the KEAs; and perception pre-survey requesting how closely perceptions align with each KEAs; calculating importance weights and perception weights based on the pre-surveys; performing a general survey process that includes surveying the experience audience to provide a quality rating indicating how well each of the KEAs was delivered based on their own experience; and calculating an Experience Index score as a measure of the quality of the experience that is an aggregation of the received quality ratings weighted by at least one of the importance weights or the perception weights.

    SYSTEMS AND METHODS RELATING TO PROVIDING CHAT SERVICES TO CUSTOMERS

    公开(公告)号:US20230040119A1

    公开(公告)日:2023-02-09

    申请号:US17392866

    申请日:2021-08-03

    Inventor: ANDREA FRIIO

    Abstract: A method for implementing chats that includes: providing a chat feature and chat interface on a webpage; providing two types of the chat resources for generating the text inputs of the chats, an automated chat resource type and a human chat resource type; providing a routing function that selectively routes incoming chats between the two types of the chat resources; providing a first selectable portion on the chat interface that, when selected by a customer, indicates a customer chat preference as to whether the customer prefers to chat with chat resources of the automated chat resource type or human chat resource type; receiving input from the customer device indicating that the customer selected the first selectable portion; determining from the received input the customer chat preference; and routing in accordance with the determined preference.

    DYNAMIC PRIORITIZATION OF COLLABORATION BETWEEN HUMAN AND VIRTUAL AGENTS

    公开(公告)号:US20220400091A1

    公开(公告)日:2022-12-15

    申请号:US17348225

    申请日:2021-06-15

    Abstract: A method of dynamic prioritization of collaboration between human and virtual agents according to an embodiment includes generating a priority score for a conversation between a human user and a chat bot, wherein the priority score is based on at least a sentiment of the human user and a temporal aspect of the conversation, providing the priority score to a human agent via an interface for monitoring the priority score, transferring control of the conversation from the chat bot to the human agent based on an interaction of the human agent with the interface, and yielding control of the conversation from the human agent back to the chat bot in response to another interaction of the human agent with the interface.

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