DEVELOPING AGENT TOOLS AND DECISION SUPPORT SYSTEMS FOR E-COMMERCE

Despite the explosive growth ofelectronic commerce and the rapid increasing number of
customer who use interactive multimedia, such as the World Wide Web for purchase
information search andonline shopping, very little is known about how customers make
purchase decision in such settings. Thus, in the rush to open their website, e-commerce
sites too often fail to support consumer decision making and search, resulting in a loss of
sales and the loss of loyal customers. To overcome this weakness in the traditional ecommerce
website, this project reviews the open problems that e-commerce website
poses to the framework and to existing search engine technology for online shopping.
Besides that, this research also involves design of the methodology for the development
in supporting decision support making systems. Generally, the development of this ecommerce
site showed that, the traditional e-commerce applications do need to be
improving by integrating anappropriate decision making system byusing an Intelligent
Agent to aid the customers in their purchase decision-making process. Scope of study
will focus into Business-to-Customer (B2C) models. In depth research will be
conducted: survey, interviews, self-assessment, and online researches and from other
written materials. The result can be determine when the developed e-commerce site used
extensively onthe Web, that perform tasks such as retrieving and delivering information
and automating repetitive tasks bythedeveloping Intelligent Agent software or services.
It also used as tools to track Webbehaviorwhich they can even "watch" as user's surfing
site and recordhow often they visit certain sites. Later, they can be used to automatically
download the favorite sites, let them know whentheir favorite site has been updated, and
even tailor specific pages to suit their tastes.