A Dual-Mode Intelligent Shopping Assistant

Radio Frequency Identification” (RFID) promises to enable an automatic collection of shopping data for business intelligent purposes. Three important components of intelligence have been identified for systems; ability to predict, ability to adapt and ability to take appropriate action. While extensive research has been done on shopping assistants and the use of RFID in the grocery industry, there is still a lack of insight into the benefits of processing shopping data within a Business Intelligence infrastructure and the components of intelligence. This paper presents iShopper, an intelligent dualmode shopping assistant. The main objective of iShopper is to create new shopping incentives through exploiting the high penetration of mobile communications, as well as the opportunities that emerging automatic product identification technologies and business intelligence offer to the grocery industry. The results indicate that the role of Business Intelligence components and RFID technology in shopping should not be underestimated. Key-words: RFID, Business Intelligence, Shopping assistant, Optimization, Adaption, Recommendation.