Abstract: Embodiments include providing network management based on monitoring Quality of Service (QoS) characteristics of Web Real-Time Communications (WebRTC) interactive flows, and related methods, systems, and computer-readable media. In one embodiment, a method for providing network management based on monitoring QoS characteristics of WebRTC interactive flows is provided. The method comprises obtaining, by a QoS acquisition agent of a WebRTC client executing on a computing device, a WebRTC interactive flow QoS characteristic that indicates a quality of a WebRTC interactive flow over a network. The method further comprises communicating, by the QoS acquisition agent, the WebRTC interactive flow QoS characteristic to a QoS monitoring agent external to the WebRTC client. The method additionally comprises initiating, by the QoS monitoring agent, a network management task based on the WebRTC interactive flow QoS characteristic.

Abstract: A microprocessor executable work assignment mechanism selects a work item associated with a customer, dynamically determines, for the customer, a customer proficiency level with respect to a contact center product and/or product area sold and/or serviced by a contact center, and uses the customer proficiency level in assigning the selected work item to a resource for servicing and/or in providing the determined customer proficiency level to an assigned resource for use in servicing the selected work item.

Abstract: Intelligently managing Web Real-Time Communications (WebRTC) interactive flows, and related systems, methods, and computer-readable media are disclosed herein. In one embodiment, a system for intelligently managing WebRTC interactive flows comprises at least one communications interface, and an associated computing device comprising a WebRTC client. The WebRTC client is configured to receive a user input gesture directed to one or more visual representations corresponding to one or more WebRTC users, and determine a context for the WebRTC client based on a current state of the WebRTC client. The WebRTC client is further configured to obtain one or more identity attributes associated with the one or more WebRTC users, and provide one or more WebRTC interactive flows including the one or more WebRTC users based on the context, the user input gesture, and the one or more identity attributes.

Abstract: Embodiments include providing network management based on monitoring Quality of Service (QoS) characteristics of Web Real-Time Communications (WebRTC) interactive flows, and related methods, systems, and computer-readable media. In one embodiment, a method for providing network management based on monitoring QoS characteristics of WebRTC interactive flows is provided. The method comprises obtaining, by a QoS acquisition agent of a WebRTC client executing on a computing device, a WebRTC interactive flow QoS characteristic that indicates a quality of a WebRTC interactive flow over a network. The method further comprises communicating, by the QoS acquisition agent, the WebRTC interactive flow QoS characteristic to a QoS monitoring agent external to the WebRTC client. The method additionally comprises initiating, by the QoS monitoring agent, a network management task based on the WebRTC interactive flow QoS characteristic.

Abstract: A microprocessor executable work assignment mechanism selects a work item associated with a customer, dynamically determines, for the customer, a customer proficiency level with respect to a contact center product and/or product area sold and/or serviced by a contact center, and uses the customer proficiency level in assigning the selected work item to a resource for servicing and/or in providing the determined customer proficiency level to an assigned resource for use in servicing the selected work item.