Abstract:
A system, method, and computer program product are provided for proactively identifying and addressing customer needs. In use, at least one customer need for at least one customer is predicted, based, at least in part, on information associated with the one or more detected customer care request triggering events, information associated with the one or more customer care interactions, and information associated with the one or more after-effects.
Abstract:
A system, method, and computer program product are provided for preventing excessive customer care. In use, one or more service provider systems are monitored for at least one proactive care action provided to at least one of a plurality of customers. Further, one or more proactive care actions are detected in the one or more systems. Information associated with the detected one or more proactive care actions is stored. Additionally, one or more proactive customer care interactions associated with the detected one or more proactive care actions are identified. Information associated with the one or more proactive customer care interactions is stored. Furthermore, one or more self-service click through events associated with the detected one or more proactive care actions are detected. Information associated with the one or more self-service click through events is stored. Further, at least one customer care policy of a service provider associated with the one or more service provider systems is identified. Moreover, it is determined whether a determined proactive care action for at least one customer will result in over-care, based, at least in part, on the information associated with the detected one or more proactive care actions, the information associated with the one or more proactive customer care interactions, the information associated with the one or more self-service click through events, and the at least one customer care policy.
Abstract:
A system, method, and computer program product are provided for predicting at least one reason for a current call received from a customer. In operation, information associated with at least one transaction corresponding to at least one customer is identified. Additionally, relevant data associated with the at least one customer is determined, based on the at least one transaction. Further, at least one reason for a current customer call received from the at least one customer is predicted, based on the relevant data associated with the at least one customer.