Sales promotion proposal device

Abstract

To efficiently expand sales by accurately obtaining a specific measure related to sales promotion suitable for a commodity to be sold, a sales area, weather, an object customer group and an event to be held. The method includes generating a machine learning model in which a successfully sold product, a sales region, weather, a target customer segment, an event, and a specific sales promotion measure when the product is sold are learned, inputting a data set of one product to be sold, a sales region, weather, a target customer segment, and an event to the machine learning model to generate a specific sales promotion measure, calculating sales or the number of sales relating to the product for which the generated specific sales promotion measure is executed, determining whether or not the sales or the number of sales is less than a predetermined target value, causing the machine learning model to perform additional learning, and inputting a previous data set to the machine learning model after the additional learning to regenerate another specific sales promotion measure when it is determined that the sales or the number of sales is less than the predetermined target value.

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