Method and device for determining order cooling-off period

Abstract

The invention discloses a method and a device for determining an order cooling-off period, and relates to the technical field of computers. A specific implementation of the method includes: acquiring order attribute data, commodity attribute data, and user attribute data of an order; based on the acquired data, using a preset classification model to predict the order status information of the order; if the order of the order If the status information is a cancellation status, then based on the acquired data, a preset prediction model is used to predict the cancellation duration data of the order; and the order cooling-off period is determined according to the cancellation duration data. The embodiment of the present invention can automatically determine a more appropriate cooling-off period according to the order attributes and product attributes corresponding to each order, and the historical behavior profile information of the corresponding user, thereby, on the one hand, improving the interception success rate of canceled orders, and on the other hand, significantly Shortening the total waiting time of orders not only reduces the cost loss, but also reduces the production pressure of the warehouse.

Description

technical field [0001] The invention relates to the field of computer technology, in particular to a method and device for determining an order cooling-off period. Background technique [0002] In the process of online shopping, when the order is submitted by the user, it will be transferred to the follow-up link and then produced. If the user cancels the order soon, it will cause the goods being processed or delivered to the warehouse to be cancelled, resulting in waste of resources and increased operating costs. Therefore, usually after the order is submitted, it will be suspended for a period of time and then transferred to the next link. This period is called the cooling-off period. A longer cooling-off period will avoid most of the losses caused by users canceling orders, but a longer cooling-off period will cause greater production pressure on the warehouse. Therefore, how to set a reasonable cooling-off period is an important concern in the industry. question. [0...

AI Technical Summary

Problems solved by technology

[0005] (1) The orders that have not been canceled by users, which account for the majority of the proportion, are also calmed down for a period of time, which will increase the production pressure of the warehouse in vain;

[0006] (2) It is impossible to capture orders that are canceled by users after the cool-down time has passed, which will eventually lead to waste of this part of the cost

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