Evaluation of Discount Effects Using Poisson Regression Based on Interaction
Evaluation of Discount Effects Using Poisson Regression Based on Interaction
复制标题
使用基于交互的泊松回归评估折扣效果
DOI：
10.1109/icdmw.2013.73
复制
发表时间：
2013
期刊：
影响因子：
--
通讯作者：
Natsuki Sano and Tomomichi Suzuki
中科院分区：
文献类型：
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作者：
Yamamoto;W and Jin;L;Natsuki Sano and Tomomichi Suzuki
在杂货店，折扣传单是向顾客提供折扣信息并增加其购买动力的重要工具。然而，折扣传单的空间有限。此外，由于顾客即使没有积极促销也会购买受欢迎的产品，因此在折扣传单上提及它们是一种无效的策略。因此，折扣产品的合理配置是品类管理领域的一个重要课题。在本文中，我们提出了一种方法，使用基于销售区域和讨价还价规模之间的交互效应的泊松回归模型来确定折扣传单上应包含的产品类别的份额。所提出的方法利用射频识别 (RFID)、销售点 (POS) 和折扣传单数据并预测将购买的产品数量。实验结果表明，西式熟食和饮料产品对特价销售具有显着的交互作用，这表明在这些销售区域实施折扣预计会产生相对于其他销售区域的销售增长。
In grocery stores, discount flyers act as important tools to provide discount information to customers and increase their purchasing motivation. However, limited space is available on discount flyers. Furthermore, because customers purchase popular products even if they are not actively being promoted, mentioning them on discount flyers is an ineffective strategy. Therefore, the proper allocation of discounted products is an important topic in the field of category management. In this paper, we propose a method to determine the share of product categories that should be included on discount flyers using a poisson regression model based on an interaction effect between sales area and bargain scale. The proposed method utilizes radio frequency identification (RFID), point of sales (POS), and discount flyer data and predicts the number of products that will be purchased. The experimental results show that Western Deli and Drink products have a significant interaction effect on bargain sales, suggesting that the implementation of discounts in these sales areas is expected to generate an increase in sales relative to other sales areas.