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METHOD AND A SYSTEM FOR OPTIMAL DEBT COLLECTION

机译:最佳债务收集的方法和系统

摘要

Disclosed herein are a method and a system for optimizing the process of debt collection. The method comprises: identifying a customer with a debt; classifying the customer with the debt into one of a plurality of predefined categories based on a profile of the customer; retrieving one or more category specific collection actions capable of being taken against the customer based on the category associated with the customer; determining a historic probability of success and/or failure for the one or more category specific collection actions; generating, by a processor, a decision tree having a source node, one or more intermediate nodes, and one or more destination nodes, the source node, the one or more intermediate nodes, and the one or more destination nodes representing the one or more category specific collection actions, and the source node, the one or more intermediate nodes and the one or more destination nodes constituting one or more workflows; determining an optimal workflow from the one or more workflows on basis of maximum expected value at the source node, the maximum expected value based on cost associated with the one or more category specific collection actions and probability of success and/or failure of the one or more category specific collection actions.
机译:本文公开了一种用于优化收债过程的方法和系统。该方法包括:识别有债务的客户;基于客户的概况将具有债务的客户分类为多个预定类别之一;基于与客户相关联的类别,检索能够针对客户采取的一个或多个类别特定的收集操作;确定一个或多个类别特定收集动作成功和/或失败的历史概率;处理器生成具有源节点,一个或多个中间节点以及一个或多个目的节点的决策树,源节点,一个或多个中间节点以及代表一个或多个的一个或多个目的节点类别特定的收集动作,以及构成一个或多个工作流的源节点,一个或多个中间节点和一个或多个目的地节点;基于源节点处的最大期望值,从一个或多个工作流中确定最佳工作流,基于与一个或多个特定于类别的收集操作相关联的成本以及一个或多个成功或失败的概率,确定最大期望值更多类别特定的收集操作。

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