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Price optimization system, price optimization method and price optimization program

机译:价格优化系统,价格优化方法和价格优化计划

摘要

A feature selection unit 81 selects, from a set of features that can influence the sales volume of a product, a first feature set as a set of features that influence the sales volume and a second feature set as a set of features that influence a price of the product. A learning unit 82 learns a predictive model in which features included in the first feature set and the second feature set are set as explanatory variables, and the sales volume is set as a prediction target. An optimization unit 83 optimizes the price of the product under constraint conditions to increase a sales revenue defined by using the predictive model as an argument. Further, the learning unit 82 learns a predictive model in which at least one feature included in the second feature set but not included in the first feature set is set as an explanatory variable.
机译:特征选择单元81从一组可能影响产品的销售量的一组功能中选择一个功能,该功能设置为影响销售量的一组功能,以及第二个功能设置为影响价格的一组功能产品。学习单元82学习一种预测模型,其中包括在第一特征集中的特征和第二特征集被设置为解释变量,并且将销售量设置为预测目标。优化单元83在约束条件下优化产品的价格,以增加通过使用预测模型作为参数定义的销售收入。此外,学习单元82学习预测模型,其中包括在第二特征集中但不包括在第一特征集中的至少一个特征被设置为解释性变量。

著录项

  • 公开/公告号JP6879357B2

    专利类型

  • 公开/公告日2021-06-02

    原文格式PDF

  • 申请/专利权人 日本電気株式会社;

    申请/专利号JP20190500916

  • 发明设计人 矢部 顕大;藤巻 遼平;

    申请日2017-02-22

  • 分类号G06Q30/02;G06Q10/04;

  • 国家 JP

  • 入库时间 2022-08-24 19:11:39

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