Monday,
September 22, 2003 |
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Feature |
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Relax and keep ‘Eyes’
open for best deals
Intelligent agents to make online
shopping easier
Sonal Chawla
E-COMMERCE
is creating a vast market place with enormous number of products and
pricing options. Today, information about products and vendors is easily
available on the Web with orders and payments being automated. But there
are several stages in the buying process, like buying decisions, product
search, purchase, payment, price discovery etc., that are time
consuming. Intelligent agents when used in certain stages of these
processes can increase user-productivity by carrying out certain
programmable routine tasks in the background. This not only reduces the
transaction costs but also improves the entire experience for the buyer.
The buying agents
automatically collect information about vendors and products that meet
specific needs, evaluate the offerings, take decisions about the vendors
and products to investigate, negotiate the terms of the transactions,
place orders and make automated payments. Agent technology has not made
great progress in the need identification stage and currently agents can
only help in repetitive purchases. A notification agent called ‘Eyes’
at the Amazon.com site monitors a catalogue of books and notifies
customers when books of their interest are available. Once the consumer
need has been identified the process enters the product brokering stage.
In this stage, several agents carry out critical evaluation of the
product information and market recommendations to the customers. Firefly
(www.firefly.com) is one such collaboration agent that makes
recommendations based on group evaluation of products. The agent
compiles the evaluation as well as profile of the evaluating users
thereby recommending a product based on the preferences of people with
similar profiles.
Today several sites
require their customers to manage their negotiation strategies on their
own. It is here that the agents play a vital role in automating the
process of negotiation. Kasbah (http://kasbah.media.mit.edu), for
instance, is an electronic marketplace where agent programs carry out
transaction with each other on behalf of the customer. These agents are
proactive and once launched try to sell the goods in the market place by
contacting other buying agents and negotiating the best deal with them.
Bargainfinder (http://bf.cstar.ac.com/bf)
is another experimental virtual shopping agent for the Web. It queries
the price and availability of user specified music CDs. AuctionBOT is a
general purpose Internet auction server at the University of Michigan.
Here a seller can create new auctions to sell products by choosing from
a selection of auction types and then specifying its parameters.
AuctionBOT differs from most other auction sites on the fact that it
provides an API for users to create their own software agents to
automatically compete in the AuctionBOT marketplace. Such an API
provides a semantically sound
interface with the marketplace. T`EAte-`E0-t`EAte is another agent that
uses negotiation approach to retail sales. This agent follows the
argumentative style to negotiate multiple transaction terms, for example
warranties, delivery times, service contracts, return policies, loan
options, gift services and other merchant value-added services.
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