Methods and systems of facilitating predictive intent-based routing of service requests

    公开(公告)号:US11658886B2

    公开(公告)日:2023-05-23

    申请号:US17899420

    申请日:2022-08-30

    Applicant: SentioCX B.V.

    CPC classification number: H04L41/5074 H04M3/523

    Abstract: A method of facilitating predictive intent-based routing of service requests. Accordingly, the method may include receiving a service request data from a user device, initiating a chatbot, retrieving a service portfolio based on the receiving of the service request data, processing the service portfolio and the service request data, determining a service level, analyzing the service request data using a first machine learning model, determining an intent based on the analyzing, generating an adjusted service level based on the intent using a second machine learning model, assigning an agent to a user of the at least one user based on the adjusted service level, generating a service notification for the agent based on the assigning, transmitting the service notification to the user device and an agent device associated with the agent, and storing the service request data, the service notification, and the adjusted service level.

    System and method for logging and displaying routing of communication

    公开(公告)号:US11601350B2

    公开(公告)日:2023-03-07

    申请号:US17840682

    申请日:2022-06-15

    Abstract: The present invention allows a user to review the routing of various communications. The system receives incoming communications for analysis by a smart routing engine (SRE) software module. The SRE module analyzes the communication at various system routing points, which is used by SRE to route the communication to an appropriate party. The SRE updates a routing log at each point to ensure a record of the reasons for routing the communication in a certain way. The routing log passes with the communication. This ensures that the ultimate recipient of the communication understands why they have received the communication and reduces the time required for a communication to be acted upon.

    Identification of incident required resolution time

    公开(公告)号:US11601347B2

    公开(公告)日:2023-03-07

    申请号:US16944198

    申请日:2020-07-31

    Applicant: Kyndryl, Inc.

    Abstract: A system to provide end users with recommendations on improving the quality of the incident management process is provided. A computer device identifies a set of historical incident reports, wherein the historical incident reports identify: (i) incident tickets, (ii) one or more skills associated with personnel assigned to the incident tickets, and (iii) whether the incident tickets were resolved within threshold periods of time to resolve. The computing device trains a machine learning model to predict sets of skills associated with resolving incident tickets within the threshold periods of time to resolve based, at least in part, on the identified set of historical incident reports. The computing device assigns a set of personnel to the new incident ticket based, at least in part, on the predicted set of skills associated with resolving the new incident ticket within the threshold period of time to resolve.

    System and method for prioritization of support requests

    公开(公告)号:US11574016B2

    公开(公告)日:2023-02-07

    申请号:US16778013

    申请日:2020-01-31

    Abstract: Methods, information handling systems and computer readable media are disclosed for determining a priority score for a pending support request document. According to one embodiment, a method includes receiving current support request information from within a pending support request document and accessing current additional information associated with the pending support request document. The method further includes associating a set of parameter values with the pending support request document, wherein the values within the set of parameter values are based on information within one or both of the current support request information or the current additional information. The method continues with determining a priority score corresponding to the set of parameter values, where determining the priority score comprises applying a machine learning model developed using previous support request information and previous additional information associated with previously-resolved support request documents, and assigning the priority score to the pending support request document.

    SUPPORT METHOD, SUPPORT SYSTEM, AND COMPUTER PROGRAM

    公开(公告)号:US20230033994A1

    公开(公告)日:2023-02-02

    申请号:US17772583

    申请日:2020-10-08

    Applicant: IoT-EX Inc.

    Inventor: Jun MATSUMURA

    Abstract: A support method, a support system, and a computer program for efficiently creating a new service obtained by combining functions of a plurality of devices are provided. A support method of the present invention is a support method of supporting creation of a new service obtained by combining functions of a plurality of devices via an IoT hub to which the plurality of devices are connected, and causes an information processing device to execute an extraction step, and the support method further includes a list output step, a selection reception step, a selection output step, an availability reception step, an input and output step, an answer reception step, and a transmission step.

    Microservices for assessing client experience in incident management

    公开(公告)号:US11563653B2

    公开(公告)日:2023-01-24

    申请号:US17315075

    申请日:2021-05-07

    Applicant: SAP SE

    Abstract: A technology for assessing client experience in incident management can be implemented. The technology can fetch an event log entry from a first database comprising a plurality of event log entries generated by a client, wherein the event log entry is associated with a timestamp, an event descriptor, and a prescribed target time to close the event log entry. The technology can extract a communication message sent by the client from the event descriptor, determine a polarity score based on sentiment analysis of the communication message, determine a client experience index (CEI) based on the polarity score, save the CEI in an event record in a second database, determine an aggregated CEI based on an average of a plurality of CEIs determined for the corresponding plurality of event log entries, and output the aggregated CEI.

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