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Predicting Individual Customer Returns in e-Commerce
Predicting Individual Customer Returns in e-Commerce
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机译:预测电子商务中的个人客户退货
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摘要
A mechanism is provided for predicting and reducing product return. For a historical regular product purchase associated with a current product purchase by a customer, a distribution of a number of product purchases and a distribution of a number of product returns is generated. A determination is made of a probability of return of the current product as a function of the number of product purchases, the number of product returns, a distance, and a browsing time. Responsive to the identified probability of return being greater than a predetermined threshold, the identified probability of return is used to reduce the probability of return of the product through one or more interactions with the product.
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