Dynamic pricing method and device

Abstract

The invention discloses a dynamic pricing method and device, and relates to the technical field of computers. The method comprises the following steps: determining the price of a commodity in a current sales stage according to a price optimization model under the sales constraint of the current sales stage, and then publishing the price; after the current sales stage is finished, judging whether sales of the commodity meets expectation or not according to actual sales data and predicted sales data; and if so, taking the price of the current sales stage as the price of the commodity in the nextsales stage. Through the above steps, the commodity pricing can be dynamically adjusted according to the commodity sales status, so that the timeliness, accuracy and robustness of the commodity pricing are enhanced, and the method is especially suitable for a stock removal commodity pricing scene.

Description

technical field [0001] The invention relates to the field of computer technology, in particular to a dynamic pricing method and device. Background technique [0002] Product pricing is one of the most important decisions for a business, especially a retail business. With the continuous maturity of academic research and the continuous development of information technology, dynamic pricing has gradually emerged in various industries. Compared with the traditional retail industry, dynamic pricing can achieve greater success in this field because e-commerce has many characteristics such as the ability to effectively collect a large amount of historical sales data and user data. [0003] In the process of realizing the present invention, the inventor found that there are at least the following problems in the prior art: First, most of the existing dynamic pricing systems aim at optimizing GMV (Gross Merchandise Volume, website transaction amount) or gross profit, and do not Con...

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Problems solved by technology

[0003] In the process of realizing the present invention, the inventor found that there are at least the following problems in the prior art: First, most of the existing dynamic pricing systems aim at optimizing GMV (Gross Merchandise Volume, website transaction amount) or gross profit, and do not Taking clearance needs into account

In the face of commodities that need to be cleared quickly, the existing dynamic pricing system is often difficult to achieve the effect that the business side actually wants

Second, the current clearance pricing is mainly based on the actual operation of procurement and sales. The clearance pricing strategy mainly relies on the experience of procurement and sales personnel, and the pricing effect is difficult to guarantee

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