Abstract:
System and method to calculate expected waiting time of a caller to a calling center, the method including: monitoring, by a monitor circuit, a content of a present communication session; estimating a point of progress of the monitored communication session; comparing the point of progress to a historical statistic; calculating, by a processor, a projection of a duration of a remainder of the present communication session; and providing, by a communication circuit, an expected waiting time (EWT) based upon the projection of the duration of the remainder of the present communication session. Embodiments may include a speech search process to record call progress. The speech search process may inform, diagnose or monitor a call. The speech search process may inform a supervisor of progress, to take action if necessary. The speech search process may dynamically trigger other processes and construct profiles based upon historical data.
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:
A predictive model for abandoned calls provided by a contact center communication system for routing optimization is described along with various methods and mechanisms for administering the same. Based on multiple attributes, the system can calculate the probabilities, risks, and costs associated with abandonment and wait, taking into account the patience of a caller, region where the caller lives, agents available to handle the call, length of time that the caller has already been waiting, potential cost of having the caller and call type abandon, and potential total cost of having the caller wait to be served.
Abstract:
System and method to improve self-service operation in a contact center, the method including: monitoring progress of a self-service customer support session for a customer of the contact center; monitoring surplus status of agents in the contact center; determining a system state related to the customer by use of the monitored progress and the monitored surplus status; setting an indicator signal to a first state if the system state is in an agent-support domain, otherwise setting the indicator signal to a second state if the system state is in an self-support domain; and assigning the customer to an agent-supported session if the indicator signal is in the first state.
Abstract:
A predictive model for abandoned calls provided by a contact center communication system for routing optimization is described along with various methods and mechanisms for administering the same. Based on multiple attributes, the system can calculate the probabilities, risks, and costs associated with abandonment and wait, taking into account the patience of a caller, region where the caller lives, agents available to handle the call, length of time that the caller has already been waiting, potential cost of having the caller and call type abandon, and potential total cost of having the caller wait to be served.
Abstract:
Techniques for topical customer service menu reconfiguration based on social media are claimed. In one embodiment, for example, an apparatus may comprise a social media gateway and an adjustment component. The social media gateway may be operative to receive social media information from one or more social media networks. The adjustment component may be operative to data mine the social media information to extract one or more characteristics, infer a trend from the extracted one or more characteristics, and adjust a customer service menu tree based upon the inferred trend. Other embodiments are described and claimed.
Abstract:
Contact center agents often work in close proximity to other agents. As a primary agent is engaged in a call, a neighboring agent speech may be picked up by the primary agent's microphone. Contact centers using automated speech recognition systems may monitor the agent's speech for key terms and, if detected, respond accordingly. Determining a primary agent spoke a key term, when the true speaker of the key term is a neighboring agent, may cause errors or other problems. Characterizing at least the primary agent's voice and then, once a key term is detected, determining if it was the primary agent that spoke the key term, may help to reduce the errors. Additionally, computational requirements may be reduced as non-key terms may be quickly discarded and optionally, key terms determined to not have been spoke by the primary agent, may also be discarded without further processing.
Abstract:
A contact center system can receive audio messages. The system can review audio messages by identifying phoneme strings within the audio messages associated with a characteristic. A phoneme can be a component of spoken language. Identified phoneme strings are used to analyze subsequent audio messages to determine the presence of the characteristic without requiring human analysis. Thus, the identification of phoneme strings then can be used to determine a characteristic of audio messages without transcribing the messages.
Abstract:
A method and a system for adaptive outbound campaign are provided. The system includes a monitoring module for real-time monitoring of public sentiment to an outbound campaign. Further, the system includes an adaptive module communicably coupled to the monitoring module. The adaptive module further adapts one or more parameters corresponding to the outbound campaign based on the monitored public sentiment.