The following information was submitted:
Transactions: WSEAS TRANSACTIONS ON INFORMATION SCIENCE AND APPLICATIONS
Transactions ID Number: 42-556
Full Name: Lilac Al-Safadi
Position: Assistant Professor
Age: ON
Sex: Female
Address: P.O.Box 246
Country: SAUDI ARABIA
Tel:
Tel prefix:
Fax:
E-mail address: lilac2k@yahoo.com
Other E-mails: lalsafadi@ksu.edu.sa
Title of the Paper: A Dual-Mode Intelligent Shopping Assistant
Authors as they appear in the Paper: Lilac Al-safadi
Email addresses of all the authors: lalsafadi@ksu.edu.sa
Number of paper pages: 17
Abstract: "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 dual-mode 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 sector. The results indicate that the role of Business Intelligence component!
s and RFID technology in shopping should not be underestimated.
Keywords: RFID Business Intelligence Shopping assistant Optimization Adaption Recommendation
EXTENSION of the file: .doc
Special (Invited) Session:
Organizer of the Session:
How Did you learn about congress: Lilac Al-Safadi, P.O.Box 246 Riyadh 11323, lalsafadi@ksu.edu.sa
IP ADDRESS: 213.236.46.151
