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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

FIG. 2 is a flowchart of a call management process 200 for automatically routing an inbound call from a customer to one of a plurality of call queue assignments based on predicted value of the inbound telephone call. The method retrieves from a customer database a set of enterprise customer data associated with an identified customer in a customer call. The customer database stores enterprise customer data associated with prospects, leads, and purchasers of an enterprise. In certain embodiments, the customer database also stores enterprise customer data associated with new business applicants of the customer enterprise. The process then retrieves customer demographic data associated with the identified customer.

The method 200 selects a predictive model from a plurality of predictive model, by selecting a predictive model for which the set of enterprise customer data has the highest expected impact on likelihood of a respective business outcome associated with that predictive model. The selected predictive model, including a logistic regression model operating in conjunction with a tree-based model, determines a value prediction signal for the identified customer. Based on the value prediction signal determined, the predictive model classifies the identified customer into one of a first value group and a second value group. When the predictive model classifies the identified customer into the first value group, the call management system routes the call received from identified customer to a first call queue assignment, i.e., first queue position and/or first call queue. When the predictive model classifies the identified customer into the second value group, the call management system routes the call received from identified customer to a second call queue assignment, i.e., second queue position and/or second call queue.

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