Claim settlement risk prediction method, system, equipment and storage medium

Abstract

The invention relates to a claim settlement risk prediction method, system, equipment and a storage medium. After the customer submits an order, the settlement risk index of the order is calculated. the method comprises the following steps of acquiring basic characteristics of the orders; calculating the derived characteristics based on the basic characteristics; acquiring historical claim settlement data of the corresponding receiving and sending person according to the basic characteristics; analyzing the basic characteristics, and carrying out fusion processing on the derived features and historical claim settlement data and inputting a risk prediction model constructed according to an XGBOOST algorithm in advance, so as to obtain a claim settlement risk index. The XGBOOST algorithm isused for modeling, so that the order data information is comprehensively judged, and the order data information can be displayed on a customer, and calculating the settlement risk index of the order is before the order transaction, so that corresponding preventive measures are made to orders with high claim risk indexes in advance, and loss is reduced.

Description

technical field [0001] The invention relates to the technical field of risk prediction, and is especially suitable for claim settlement risk prediction in the logistics field. Background technique [0002] With the development of the Internet, logistics, transportation and other industries, more and more people choose to shop online or use express companies to mail items. Among the large number of express mails produced every day, some of the few express mails are damaged to varying degrees due to the particularity of their own items, or due to some reasons in the transportation link, delivery link, etc., or due to the special circumstances of the customer itself, etc., which will cause Claims for these express shipments will cause varying degrees of losses to both the customer and the express delivery company. [0003] In the existing technology, it is difficult to identify the claim settlement risk of the express shipment in advance. Therefore, a claim settlement risk pre...

AI Technical Summary

Problems solved by technology

Among the large number of express mails produced every day, some of the few express mails are damaged to varying degrees due to the particularity of their own items, or due to some reasons in the transportation link, delivery link, etc., or due to the special circumstances of the customer itself, etc., which will cause Claims for these express shipments will cause varying degrees of losses to both the customer and the express company

[0003] In the existing technology, it is difficult to identify the claim risk of the express in advance. Therefore, a claim risk prediction method is needed to calculate the claim risk index of the express after the customer places an order and before the courier picks up the package.

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