Title :
A Rule Based Expert System for Analysis of Mobile Sales Data on Fashion Market
Author_Institution :
Dept. of Comput. Sci., Seokyeong Univ., Seoul, South Korea
Abstract :
This paper presents a rule-based expert system which is an extension of an ERP system of a fashion company. The fashion company needs a system for analyzing sales reports from mobile devices in many locations. An expert system is suggested, which can work with the company´s ERP system. The expert system analyzes sales data and supports decision making strategy on the data. Rules in the proposed expert system are represented in JESS, Java Expert System Shell.
Keywords :
Java; enterprise resource planning; expert systems; marketing data processing; mobile radio; sales management; ERP system; JESS; Java Expert System Shell; decision making strategy; fashion company; fashion market; mobile sales data; rule based expert system; sales reports; Companies; Computers; Decision making; Decision support systems; Expert systems; Java; Mobile communication;
Conference_Titel :
Information Science and Applications (ICISA), 2013 International Conference on
Conference_Location :
Suwon
Print_ISBN :
978-1-4799-0602-4
DOI :
10.1109/ICISA.2013.6579450
