Abstract:
A system and method for providing agent guidance is provided. Speech communicated by a user to an agent is monitored during a call within a call center. Traits of the user are identified during the call based on the speech of the user. A determination is made as to how likely the user is to accept an offer provided by the agent based on the user traits. The user is classified as belonging to one of a plurality of stages of persuasion based on the likelihood determination, and guidance is provided to the agent based on classification of the user in at least one of the classes. The offer is provided to the user based on the guidance.
Abstract:
A system and method for providing guidance to persuade a caller is provided. A call is received from a caller into a call center and an offer is provided to the caller. A likelihood of the caller to accept the offer is measured by analyzing voice input of the caller during the call. One or more paralinguistic voice characteristics in the voice input are determined. A stage of persuasion is assigned to the caller based on the paralinguistic voice characteristics and a recommendation is made for guidance to persuade the caller to accept the offer.
Abstract:
A computer-implemented system and method for assigning call agents to callers is provided. A call from a caller is received into a call center. A voice sample is obtained from the caller during the call and analyzed. Traits of the caller are identified from the analyzed voice sample. A determination that at least one of the identified traits includes characteristics of multiple populations for that trait is made. The identified trait is defined as a percentage of each population included in that trait. The caller traits are compared to traits associated with each active agent within the call center. The agent with the traits most similar to the caller traits is assigned to the caller.
Abstract:
A system and method for providing agent guidance is provided. Speech communicated by a user to an agent is monitored during a call within a call center. Traits of the user are identified during the call based on the speech of the user. A determination is made as to how likely the user is to accept an offer provided by the agent based on the user traits. The user is classified as belonging to one of a plurality of stages of persuasion based on the likelihood determination, and guidance is provided to the agent based on classification of the user in at least one of the classes. The offer is provided to the user based on the guidance.
Abstract:
A computer-implemented system and method for assigning call agents to callers is provided. A call from a caller is received into a call center. A voice sample is obtained from the caller during the call and analyzed. Traits of the caller are identified from the analyzed voice sample. A determination that at least one of the identified traits includes characteristics of multiple populations for that trait is made. The identified trait is defined as a percentage of each population included in that trait. The caller traits are compared to traits associated with each active agent within the call center. The agent with the traits most similar to the caller traits is assigned to the caller.
Abstract:
A system and method for providing guidance to persuade a caller is provided. A call is received from a caller into a call center and an offer is provided to the caller. A likelihood of the caller to accept the offer is measured by analyzing voice input of the caller during the call. One or more paralinguistic voice characteristics in the voice input are determined. A stage of persuasion is assigned to the caller based on the paralinguistic voice characteristics and a recommendation is made for guidance to persuade the caller to accept the offer.
Abstract:
A system and method for pairing agents and callers within a call center environment is provided. A call is received from a caller into a call center. A voice sample is received from the caller during the call and traits of the caller are identified from the voice sample. The traits of the caller are compared to traits of one or more candidate agents within the call center. A similarity is determined between the caller and each candidate agent based a number of the traits shared by the caller and that candidate agent. One of the candidate agents is selected based on the similarity and the caller is connected with the selected candidate agent.
Abstract:
A system and method for providing hiring recommendations of agents within a call center is provided. A voice sample is received from a candidate agent. The voice sample is analyzed by comparing the voice sample with at least one voice model associated with voice characteristics for two or more populations of a trait. One of the populations to which the candidate agent belongs for that trait is identified. A score is assigned to the candidate agent based on the identified population for the trait. A recommendation for hire for the candidate agent is provided based on the assigned score.
Abstract:
A system and method for pairing agents and callers within a call center environment is provided. A call is received from a caller into a call center. A voice sample is received from the caller during the call and traits of the caller are identified from the voice sample. The traits of the caller are compared to traits of one or more candidate agents within the call center. A similarity is determined between the caller and each candidate agent based a number of the traits shared by the caller and that candidate agent. One of the candidate agents is selected based on the similarity and the caller is connected with the selected candidate agent.
Abstract:
A system and method for providing hiring recommendations of agents within a call center is provided. A voice sample is received from a candidate agent. The voice sample is analyzed by comparing the voice sample with at least one voice model associated with voice characteristics for two or more populations of a trait. One of the populations to which the candidate agent belongs for that trait is identified. A score is assigned to the candidate agent based on the identified population for the trait. A recommendation for hire for the candidate agent is provided based on the assigned score.