Product dynamic pricing method based on transaction data and AI drive
A technology for transaction data and products, applied in the field of data processing, can solve problems such as failure to consider demand fluctuations, failure to consider the interaction between price and demand, and inapplicable pricing, so as to improve effectiveness, avoid waste, and optimize allocation Effect
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[0027] In order to facilitate those skilled in the art to understand the technical content of the present invention, the content of the present invention will be further explained below with reference to the accompanying drawings.
[0028] The dynamic pricing method for products driven by transaction data and AI of the present invention includes the following steps:
[0029] A. First, collect and integrate product transaction data to form a continuous product sales data set and a product price sales data set;
[0030] B. Establish a product dynamic pricing model, use the continuous product sales data set to train the sales trend prediction module, and use the product price sales data set to train the key relationship modeling module;
[0031] C. Intercept the product sales and corresponding price data in a certain period, rely on the sales trend prediction module and key relationship modeling module completed by training, set training goals, and train the dynamic pricing decis...
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