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System and method for managing routing of customer calls to agents

專利號(hào)
US11176461B1
公開日期
2021-11-16
申請(qǐng)人
MASSACHUSETTS MUTUAL LIFE INSURANCE COMPANY(US MA Springfield)
發(fā)明人
Sears Merritt
IPC分類
H04M3/51; H04M3/523; G06N5/02; G06N20/00; G06Q30/02; H04M3/436; G06Q30/06; H04M3/42
技術(shù)領(lǐng)域
customer,call,queue,inbound,predictive,in,enterprise,model,data,agents
地域: MA MA Springfield

摘要

A call management system of a call center retrieves from a customer database enterprise customer data associated with an identified customer in a customer call, which may include customer event data, attributions data, and activity event data. The customer database tracks prospects, leads, new business, and purchasers of an enterprise. The system retrieves customer demographic data associated with the identified customer. A predictive model is selected from a plurality of predictive models based on retrieved enterprise customer data. The selected predictive model, including a logistic regression model, and tree-based model, determines a value prediction signal for the identified customer, then classifies the identified customer into a first value group or a second value group. The system routes a customer call classified in the first value group to a first call queue assignment, and routes a customer call classified in the second value group to a second call queue assignment.

說明書

Methods and systems described herein can employ a predictive model relating to offering for sale one or more products offered or supplied by a sponsoring organization of an inbound contact center. In various embodiments, the products offered or supplied by a sponsoring organization require payments by the customer for a period following closing the sale, such as premiums to maintain in force an insurance policy or other financial product, or installment plans for product purchase. A pre-sale prediction model can incorporate information on a minimum period of time of customer payments required to achieve a beneficial transaction for the sponsoring organization and uses this information in determining conditions for “l(fā)apse.” The pre-sale predictive model forecasts customer behavior to improve the probability of closing a sale of an offered product to an inbound customer, and to reduce the probability that the customer will lapse in payment for the purchased product.

The predictive model can classify inbound callers into two or more value groups. In an embodiment, two value groups are modeled to model higher predicted value and lower predicted value, respectively, to the sponsoring organization. In various embodiments, this classification governs value-based routing of inbound telephone calls for response by agents, to allocate limited resources of the inbound contact center. An individual employed by the contact center to interact with callers is sometimes referred to herein as an “agent.”

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