{"title":"DIY零售商动态定价支持系统——来自奥地利的案例研究","authors":"M. Natter, Thomas Reutterer, A. Mild","doi":"10.2478/GFKMIR-2014-0084","DOIUrl":null,"url":null,"abstract":"Abstract Merchandise managers have long dreamt of automated dynamic systems to help them make well-informed pricing decisions. However, such systems have proved as elusive as the Holy Grail - until now, that is. The story of an Austrian DIY retailer shows often undetected opportunities to use valuable information, hidden in retailers’ data warehouses, on consumer reactions to previous price changes in order to make automatic pricing and promotion decisions.","PeriodicalId":30678,"journal":{"name":"GfK Marketing Intelligence Review","volume":"48 1","pages":"46 - 53"},"PeriodicalIF":0.0000,"publicationDate":"2009-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"6","resultStr":"{\"title\":\"Dynamic Pricing Support Systems for DIY Retailers – a Case Study from Austria\",\"authors\":\"M. Natter, Thomas Reutterer, A. Mild\",\"doi\":\"10.2478/GFKMIR-2014-0084\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Abstract Merchandise managers have long dreamt of automated dynamic systems to help them make well-informed pricing decisions. However, such systems have proved as elusive as the Holy Grail - until now, that is. The story of an Austrian DIY retailer shows often undetected opportunities to use valuable information, hidden in retailers’ data warehouses, on consumer reactions to previous price changes in order to make automatic pricing and promotion decisions.\",\"PeriodicalId\":30678,\"journal\":{\"name\":\"GfK Marketing Intelligence Review\",\"volume\":\"48 1\",\"pages\":\"46 - 53\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2009-05-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"6\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"GfK Marketing Intelligence Review\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.2478/GFKMIR-2014-0084\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"GfK Marketing Intelligence Review","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.2478/GFKMIR-2014-0084","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Dynamic Pricing Support Systems for DIY Retailers – a Case Study from Austria
Abstract Merchandise managers have long dreamt of automated dynamic systems to help them make well-informed pricing decisions. However, such systems have proved as elusive as the Holy Grail - until now, that is. The story of an Austrian DIY retailer shows often undetected opportunities to use valuable information, hidden in retailers’ data warehouses, on consumer reactions to previous price changes in order to make automatic pricing and promotion decisions.