  The success of online auctions has given buyers access to greater product
diversity with potentially lower prices. It has provided sellers with access to
large numbers of potential buyers and reduced transaction costs by enabling
auctions to take place without regard to time or place. However it is difficult
to spend more time period with system and closely monitor the auction until
auction participant wins the bid or closing of the auction. Determining which
items to bid on or what may be the recommended bid and when to bid it are
difficult questions to answer for online auction participants. The multi agent
auction advisor system JADE and TRACE, which is connected with decision support
system, gives the recommended bid to buyers for online auctions. The auction
advisor system relies on intelligent agents both for the retrieval of relevant
auction data and for the processing of that data to enable meaningful
recommendations, statistical reports and market prediction report to be made to
auction participants.
