Commodity automatic pricing method and device, electronic equipment and storage medium

Abstract

The embodiment of the invention provides a commodity automatic pricing method. The method comprises the steps of acquiring pricing element information of a target commodity, wherein the pricing element information is divided according to corresponding types and at least comprises one of commodity attribute information, commodity cost information and marketing action information; and inputting thepricing element information into a price prediction model to determine price information of the target commodity, the price prediction model being obtained by training commodity history data of an associated commodity, and the associated commodity and the target commodity belonging to the same brand. The method can effectively improve the automatic pricing precision of the commodity, and effectively reduces the calculation resource consumption of the automatic pricing of the commodity. In addition, the embodiment of the invention provides an automatic commodity pricing device, electronic equipment and a computer readable storage medium.

Description

technical field [0001] Embodiments of the present invention relate to the technical field of information processing, and more specifically, embodiments of the present invention relate to a method, device, electronic device, and storage medium for automatic commodity pricing. Background technique [0002] This section is intended to provide a background or context for implementations of the invention that are recited in the claims. The descriptions herein are not admitted to be prior art by inclusion in this section. [0003] With the rapid development of computer technology, the application of commodity price prediction through information processing has become more and more extensive. Commodity price prediction is conducive to improving the efficiency of business operations in the e-commerce field and improving the intelligence of commodity pricing in the e-commerce field. [0004] In realizing the concept disclosed in the present invention, the inventors found that in th...

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Problems solved by technology

[0007] Therefore, in the prior art, combining the historical price data of the target commodity and the market environment information, the determined price information of the target commodity may have the problem of high error rate; and combining the market environment information to predict the commodity price, there is a low prediction efficiency , high computing resource consumption and high pricing costs, this is a very annoying process

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