Abstract:
To provide better metrics for a contact center, the system determines when a contact center agent has been assigned to a plurality of agent skills in a skill group. A skill group is a set of skills for which the contact center seeks to calculate overall metrics across those skills. Information is received that the contact center agent is in a first state for the plurality of agent skills. For example, the contact center agent is available to support the different products. A status is calculated for the contact center agent in the skill group. The status for the contact center agent in the skill group is calculated based a minimum or maximum of the first state of the contact center agent in the skill group. The status of the first agent in the skill group is sent to a contact center administrator to better manage the contact center.
Abstract:
An agent rating prediction and routing mechanism provided by a contact center communication system for work assignment optimization is described along with various methods and mechanisms for administering the same. The prediction system proposed herein analyzes past agent performance, agent attributes, contact attributes, and customer attributes to calculate an outcome value and to provide a performance prediction for use in work item routing to contact center resources.
Abstract:
Aspects are directed towards methods including creating multiple states from at least two call center data sources; and combining at least two of the multiple states to obtain a data model, where the data model comprises an attribute related to the call center, and methods including collecting a set of call data from multiple sources, where the multiple sources comprise a management module source and at least one source not controlled by the management module, and analyzing the set of call data.
Abstract:
A device, system, and method use predictive analytics based on an application-centric approach. The method includes receiving a request from an interactive application interacting with a user utilizing a user device for action data indicating an action to be taken by the interactive application during a session with the user device, the request generated by the interactive application based on a decision point associated with the interactive application. The method includes receiving from the interactive application session data associated with the session and the user device. The method includes determining scoring package data associated with the request based on the session data, the scoring package data comprising a predictive model indicative of a plurality of actions to be performed by the interactive application. The method includes generating the action data based on the scoring package data and transmitting the action data to the interactive application.
Abstract:
In order to provide better service with self-service applications, metrics for a communication session between a user and a self-service application are identified. Based on the metrics, a pattern is determined that will likely predict an initial outcome of the communication session with the self-service application. In response to determining that the pattern will likely predict the initial outcome of the communication session with the self-service application, the way the user is managed in the communication session is changed. For example, if a particular pattern of IVR responses is detected that will likely lead to a caller abandoning a voice call, the voice call can be automatically transferred from the IVR system to a contact center agent. This provides for increased customer satisfaction and better utilization of contact center resources.
Abstract:
A first communication session is created with a first application written in first language. A change is detected in first variables in the first application. The first variables are retrieved from the first application in response to detecting a change in the first variables. The first communication session is transferred to a second application written in a second language. A change is detected in a second variable in the second application. The second variable is retrieved from the second application in response to detecting the change in the second variable. A common pair of variables are matched between the first variables and the second variable. The first communication session and the transferred first communication session are associated as a common communication session in response to matching the common pair of variables. One or more of the first plurality of variables is then used by the second application.
Abstract:
A device, system, and method use predictive analytics based on an application-centric approach. The method includes receiving a request from an interactive application interacting with a user utilizing a user device for action data indicating an action to be taken by the interactive application during a session with the user device, the request generated by the interactive application based on a decision point associated with the interactive application. The method includes receiving from the interactive application session data associated with the session and the user device. The method includes determining scoring package data associated with the request based on the session data, the scoring package data comprising a predictive model indicative of a plurality of actions to be performed by the interactive application. The method includes generating the action data based on the scoring package data and transmitting the action data to the interactive application.