{"title":"客户跟踪和追踪数据作为销售点服务创新的基础","authors":"Johannes Kröckel, F. Bodendorf","doi":"10.1109/SRII.2012.115","DOIUrl":null,"url":null,"abstract":"While web shops generate record profits stationary retail shops continuously lose importance. Especially when it comes to non-perishable goods, people tend more and more to buy products online. Therefore, stationary retailers need to come up with new individual service offers to retain existing customers and to attract new ones. Building up new customized service offers requires knowledge about the customers at the point of sale. Especially customer movements are a valuable source of information that reveals a variety of information about customer behavior. First, an approach for video-based extraction of customer movements at the point of sale is presented. Subsequently, methods of customer behavior analysis are outlined. Based on the results applications for retail managers, sales personnel and automated customer services are introduced.","PeriodicalId":110778,"journal":{"name":"2012 Annual SRII Global Conference","volume":"11 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2012-07-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"11","resultStr":"{\"title\":\"Customer Tracking and Tracing Data as a Basis for Service Innovations at the Point of Sale\",\"authors\":\"Johannes Kröckel, F. Bodendorf\",\"doi\":\"10.1109/SRII.2012.115\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"While web shops generate record profits stationary retail shops continuously lose importance. Especially when it comes to non-perishable goods, people tend more and more to buy products online. Therefore, stationary retailers need to come up with new individual service offers to retain existing customers and to attract new ones. Building up new customized service offers requires knowledge about the customers at the point of sale. Especially customer movements are a valuable source of information that reveals a variety of information about customer behavior. First, an approach for video-based extraction of customer movements at the point of sale is presented. Subsequently, methods of customer behavior analysis are outlined. Based on the results applications for retail managers, sales personnel and automated customer services are introduced.\",\"PeriodicalId\":110778,\"journal\":{\"name\":\"2012 Annual SRII Global Conference\",\"volume\":\"11 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2012-07-24\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"11\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2012 Annual SRII Global Conference\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/SRII.2012.115\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2012 Annual SRII Global Conference","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/SRII.2012.115","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Customer Tracking and Tracing Data as a Basis for Service Innovations at the Point of Sale
While web shops generate record profits stationary retail shops continuously lose importance. Especially when it comes to non-perishable goods, people tend more and more to buy products online. Therefore, stationary retailers need to come up with new individual service offers to retain existing customers and to attract new ones. Building up new customized service offers requires knowledge about the customers at the point of sale. Especially customer movements are a valuable source of information that reveals a variety of information about customer behavior. First, an approach for video-based extraction of customer movements at the point of sale is presented. Subsequently, methods of customer behavior analysis are outlined. Based on the results applications for retail managers, sales personnel and automated customer services are introduced.