• DocumentCode
    630433
  • Title

    A Rule Based Expert System for Analysis of Mobile Sales Data on Fashion Market

  • Author

    Meekyung Min

  • Author_Institution
    Dept. of Comput. Sci., Seokyeong Univ., Seoul, South Korea
  • fYear
    2013
  • fDate
    24-26 June 2013
  • Firstpage
    1
  • Lastpage
    2
  • 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;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Information Science and Applications (ICISA), 2013 International Conference on
  • Conference_Location
    Suwon
  • Print_ISBN
    978-1-4799-0602-4
  • Type

    conf

  • DOI
    10.1109/ICISA.2013.6579450
  • Filename
    6579450