Techniques described herein relate to representative monitoring in a contact center environment. Data associated with a customer interaction, including content of the interaction and video of a representative display during processing associated with the interaction, are presented to an administrator in real time or near real time for monitoring during an interaction. In some examples, a contact center server may receive an event notification when a live contact begins, and may generate data files associated with the live contact to allow the administrator to monitor the contact. In some instances, the contact center server may continue to generate data after conclusion of the live contact, to allow the administrator to monitor and guide post-contact processing performed by the representative. The contact center server also may allow administrators to select live contacts for monitoring and/or receive alerts when pre-selected representatives commence live contacts that can be monitored.

Computer-implemented techniques for answer time prediction in a contact center service of a provider network. While a delayed processing timing has not been met, a set of contact queuing context-actual answer time data for a set of contact inquiries serviced is received as a first set of contact queuing context-actual answer time data. When the delayed processing timing has been met, a new queuing model is learned based on the first set of contact queuing context-actual answer time data and a previous set of contact queuing context-actual answer time data for a previous set of contact inquiries serviced or a previous version of the queuing model. A request to predict an answer time for a target contact queuing context is received and an answer time for the target contact queuing context is predicted based on the new queuing model. The predicted answer time is provided to a contact via a contact communications channel.

A system and method for hybrid callback management, utilizing a callback cloud and an on-premise callback system, allowing brands to utilize a hybrid system that protects against any premise outages or cloud service faults and failures by introducing redundancies and co-maintenance of data key to callback execution while allowing for mixed telephony types to be seamlessly integrated into one communication platform.

The technology disclosed herein enables incorporation of feature sets of a unified communications system and a contact center system. In a particular embodiment, a method includes, in a contact center system, in response to an agent logging into the contact center system, establishing a first connection between the contact center system and a unified communications endpoint operated by the agent. The first connection is established using a unified communications system that services the unified communications endpoint. After establishing the first connection, the method includes identifying a call on a second connection between the contact center system and a second endpoint operated by a user. In response to selecting the agent to handle the call, the method includes bridging the first connection and the second connection.

A network controller including processing circuitry may be configured to receive dynamic position information indicative of a three dimensional position of at least one mobile communication node, compare fixed position information indicative of fixed geographic locations of respective access points of a network to the dynamic position information to determine a relative position of the at least one mobile communication node relative to at least one of the access points based on the fixed position information and the dynamic position information, and provide network control instructions to at least one network asset based on the relative position.

A system can route calls based on a minimum expected delay, classification, and priority of the call. In some embodiments, when a call is received, the call is classified and prioritized within the classification. A minimum expected delay time is determined. Based on the minimum expected delay time, the classification, and the prioritization, the call is routed to a representative with instructions on how the call should be treated.

The present invention discloses a method of noise reduction for an intelligent network communication, which includes the following steps: first, receiving a local sound message through a sound receiver of a communication device at the transmitting end. Next, a voice recognizer is used to identify the voice characteristics of the speaker; then, it is determined from a voice database whether there is a corresponding or similar voice characteristic of the speaker recognized by the voice recognizer. Finally, filtering other signals other than the voice characteristic signal of the speaker through a sound filter to obtain the original sound emitted by the speaker.

Communications between agents and customers are a key feature of contact centers. Agents may have a question about how to perform a particular task, a response to the question that other agents may know. A supervisor may be presently unavailable and transferring the customer requires significantly more overhead and resources. The systems and methods herein disclose an agent-to-agent (A-to-A) channel that enables a question to be posed to an agent and receive a response via a dedicated channel for A-to-A communications. Accordingly, the agent may stay engaged with the customer and resolve issues without the need to wait for a supervisor or transfer the customer to another agent.

The present application includes a method and system for multi-channel interaction. A communication session is initiated between a customer service representative (CSR) and an end user. Multi-channel communication is used between the end user and the CSR. The multi-channel communication includes at least voice and data. Information is presented to the end user via a user interface, and the user can confirm the accuracy of the information using the user interface.

An abnormal traffic analysis apparatus includes receiving means for receiving traffic from a device, analysis means for analyzing whether or not traffic received from the device is abnormal traffic, analysis result recording means for recording a result of analysis performed by the analysis means, and device management means for managing movement of the device between edges. If it is determined by the device management means that a device that is a target of analysis performed by the analysis means moves to an edge, the receiving means creates information for continuing analysis of traffic received from the device and transmits the information to an apparatus for analyzing traffic that is included in the edge to which the device moves.