A COLLABARATIVE AGENT IN E-COMMERCE

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A COLLABARATIVE AGENT IN E-COMMERCE
Sunanda N1, Dr. M. Ravi kanth2, V. Surya Narayana Reddy3,N.L. Pratap4
1,2,3Assistant Professor, Department of CSE,Vallurupalli Nageswara Rao Vignana Jyothi Institute of Engineering &
Technology,Hyderabad, India.
4Research scholar, Acharya Nagarjuna University, Guntur, Andhra Pradesh, India
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Abstract
The Internet is the primary means of trade in current e-
shopping models. E-commerce has grown in popularity
over the years, mostly because people believe it is
beneficial and straightforward to acquire various items
calmly from their workplace or home. To improve the
automation and efficiency of the online shopping process,
the authors of this study offer a customised e-shopping
framework that makes use of specialised innovation in the
field. Customers' accessibility, response speed, and efficacy
are all improved because to the use of expert innovation. e-
Shopping specialists are available at any time, from any
location, using any device, to provide the specific product
requested by the customer, based on exchange cost
efficiency and flexibility. Regulator data is controlled by
the regulator expert, which is linked to the customer
service specialist by way of an association. The regulator
expert provides the data to the customer specialist, and
the client selects and puts items in the shopping cart. In
the end, the framework works well and saves customers a
lot of time as they buy online.
1. Introduction
The e-shopping is characterized as the utilization of PCs
and electronic organizations to sort out shopping with
clients over the web or some other electronic
organization. People believe that online shopping is
convenient and easy to use since they don't have to leave
the comfort of their homes or workplaces to buy a
variety of products. Internet shopping, particularly
during the Christmas season, eliminates the need to wait
in lengthy lines or hunt for a certain item in many stores.
It was the unusual growth of Internet clients around the
world that opened up a whole new world of business
opportunities. Over the last several years, online
shopping has taken off in a big manner. E-shopping,
where a customer may delegate the responsibility of
buying and selling to the professionals rather than
perusing the e-shopping himself, is one such situation in
which the specialists have an unmistakable vocation.
There might be no legal tools to interact with electronic
exchange and automate the shopping procedure for
customers. So, a human buyer is still responsible for
gathering social affair item data from several Internet
sources, making selections regarding each product, and
finally executing the e-installation. Purchasing anything
on the Internet will cost you money. As a result, a multi-
specialist environment is used to reduce the time and
improve the automation of the e-shopping framework.
Related Work Software expert improvements supply
another circumstance that is used to nurture the new
generation web-based company framework, in which the
most laborious segments of the customers purchasing
cycle will be automated. In addition, there are now many
purchasing locations on the Internet; nevertheless, the
majority of these destinations do not have a user
pleasant interface design, which is crucial for the
accomplishment of online programming. The interface of
e-shopping frameworks should be pleasing to the sight,
straightforward to master and simple to employ. Any
other way, folks overall will probably turn out to be less
fond on e-shopping apps. The JADE innovation might be
employed to construct an easy to use, simple to
understand and fascinating.
Literature survey
Online business is business cooperation over the web,
which can bring down costs drastically and working with
new sorts of business exchanges. As the Internet engages
residents and democratizes social orders, it is likewise
changing exemplary monetary standards. New models of
business connection are creating as organizations and
purchasers take part in an electronic commercial center
and receive the resultant rewards. The Internet can
possibly alter trade and different regions. The Internet
will alter retail advertising. Trade on the Internet could
add up to huge number of dollars by the turn of the
century.
Trade has developed throughout the long term. Before
the development of cash, it was the straightforward “deal
process” where things could be traded, say milk for
grains. The development of cash carried with it, the idea
of a "commercial center" in a commercial center,
Commerce is capacity of 4 P’s Product, Price, Place and
Promotions.
This large number of four parts assume a crucial part in
an exchange to occurAt the point when the Postal System
appeared the merchants chose to take advantage of the
new open door and began utilizing mailers giving
International Research Journal of Engineering and Technology (IRJET) e-ISSN: 2395-0056
Volume: 10 Issue: 01 | Jan 2023 www.irjet.net p-ISSN: 2395-0072

depiction of their items. It prompted the idea of “Mail
Order Cataloging”. From here, the advancement of the
“Online shopping” networks was along these lines
unavoidable with the improvement of media vehicles.
The most recent age of business is one that should be
possible over the web. Web gives a virtual stage where
venders and purchasers can come in touch available to
be purchased and acquisition of labor and products.
They can be huge number of miles separated, may have a
place with various areas of the planet, could
communicate in various dialects, E-Commerce arose as
the limit less exchange medium the time of globalization
2. Related Work
Electronic commerce is the practice of doing business
through the internet, which may reduce prices and
facilitate new sorts of transactions. When people have
more access to information, they are more likely to
participate in the democratic process. New models of
commercial interaction are developing as businesses and
consumers participate in an electronic marketplace and
reap the resultant benefits. The Internet has the
potential to transform a wide range of industries,
including commerce and government services. Retail
marketing is about to undergo a paradigm shift thanks to
the Internet. By the turn of the century, Internet
commerce might be worth tens of billions of dollars.
Over time, commerce has developed. It was a basic
"barter procedure" prior to the development of money,
such as exchanging milk for grain. Commerce is based on
the four Ps: product, price, place, and promotion. The
evolution of money brought with it this concept of a
"marketplace."
All four of these elements are necessary for a transaction
to go through. Different combinations of 4Ps determine
different forms of Commerce. For a few pioneers, it
became clear that customers were willing to pay more
for things that could be delivered directly to their
doorsteps. The ease of having things delivered to their
doorsteps was made possible by a little adjustment in
pricing and location. "Street Vendors" were created as a
result of this concept's success. When the postal service
was established, retailers took advantage of the new
opportunity and began sending out mailers that
described their items in more detail. The notion of "Mail
Order Cataloguing" was born as a result of this. Because
of this, it was only a matter of time until "Tele-shopping"
networks were born. Online commerce is now the most
common kind of trade in today's world. The Internet
serves as a virtual marketplace where merchants and
buyers may meet and conduct business. They may live
on opposite sides of the globe, speak a different
language, or be thousands of miles apart. In the age of
globalization, e-commerce evolved as a boundary-less
trading channel.
3. The Framework High Level Architecture
The framework's creation necessitates the creation of
three separate communicative agents. This includes
developing the agents, the communication protocols, and
the graphical user interfaces (GUIs). All the agents built
using generic and reusable architecture (Bellota et al.,
2004), (Bartolini et al., 2005). In the system, each agent
has a profile-based local database. Customers'
preferences are stored on the BA's profile, whereas
things to be provided are stored on the SA profile. It is
necessary for the BA to submit a query to the MA when it
is looking for a certain product. The MA will then
respond by providing a list of SAs that match the one it
has received. Upon the satisfaction of the buyer, the BA
may begin direct negotiations with the SA.
Figure 1: Overall system architecture
The Buyer/Seller Agent Architecture
Agents all have similar design, but each has a unique
architecture that reflects the specific functions it does.
Main components of the BA/SA architecture in the
proposed framework are as follows (Figure 2). In order
to enter into talks with the consumer, the BA brings the
requested goods and interacts with the MA (if they do
not have a pre-known SAs with a relevancy to the
current request). Once the BA has been given admission,
they continue to negotiate with a SA of their choice
(Figure 1). The BA notifies the client of the outcome of
the discussions. A SA provides BA with items and
services that they have to offer (directly or through a
MA). The SA replies to enquiries regarding its owner's
goods or services, reacts to XML messages, and
negotiates with BAs.

Figure 2: BA/SA module view
Profiler Database
For all customer transactions, the profile module is
responsible. In addition, the consumer may recover and
modify his or her own profile. The local database
contains all of the user profiles. It is necessary for a
profile to interact with the responsible agent in order to
store or retrieve it. Pictured in Figure 4 are the BA and
SA databases used to store the historical items (s/he
purchased) and their associated keywords. Figure 5
depicts the system's common database, which contains
all of the relevant data about products and agents.
Figure 4: Buyer/Seller agent’s local databases
4. System Implementation
A functioning prototype of the system is currently
available. Three separate types of agents are included in
this prototype, as previously mentioned. The role of the
agents is determined by whether they are working for
the buyer or the seller. The agents are written and run
using a Java Virtual Machine (JVM) JDK 1.4 with
Windows XP. Accessing and manipulating tables in
relational databases is possible via the use of agents.
XML technology, which was previously mentioned, may
be used to encode and deliver data and services in an
intelligible format. In hierarchical communities of agents,
a portal-agent model is used. The MA performs the role
of a gateway agent in this scenario. Instead of acting
independently, the MA represents the interests of all BAs
and SAs in the community as a whole. Another high-level
portal agent (MA) may be responsible for overseeing the
MA in a community. A MA may broadcast a message to
all BAs and SAs in a group. Messages may be
disseminated by any BA/SA in the community by
contacting the MA. This paradigm is implemented using
the agent middleware. Agent communication protocol is
used by both BA and MA to get in touch with one
another, and the BA then reacts by getting in touch with
its MA counterpart. The MA replies to the BA's contact
with the agent middleware. Responses are accepted or
rejected by the MA when the BA is recognized. • The BA
communicates to the MA the original/refined request of
the consumer. • The MA distributed the task to
registered SAs in order to meet the customer's needs.
SAs attempt to comprehend requests on their own when
they get them. The SA will offer the MA with a certainty
value for their report if they successfully interpret the
data. An SA will provide a report with a 0% confidence
score if it cannot comprehend a request. The SA returns
the result to the MA.
Request Routing by the MA
In order to take into account, the changing popularity of
each SA, the MA builds its own characteristics database
and updates it on-the-fly when new SAs are added. For
routing purposes, these SA's characteristics will be taken
into consideration. The MA will do the routing based on
the
depending on the customer's prior replies (how much
the SA has serviced this BA's previous demands), the MA
learns about each SA and forms a community of SAs.
5. Results
PAYMENTGATEWAYINE-COMMERCESYSTEM:
Here the customer needs to enter the card details for the
payment.

USERADDRESSINE-COMMERCESYSTEM:
This slot for billing address is added to know the address
to be printed on the bill.
USERREVIEWPAGE:
User reviews whether all the information is correct
before he proceeds with the final confirmation.
OUTLINE-COMMERCESYSTEMTHELOGINPAGE:
This is the outline of the login page
SIGNUPPAGEFORNEWUSER:
If it is a new customer. They need to sign up into the E-
commerce page.

PRODUCTPAGEIN E COMMERCESYSTEM:
All the products available will be displayed to the
customer in an order.
PURCHASEOFTHEPRODUCTS:
Customer adds the required items as per the wish to buy.
And finally has a chance to review all the items.
6. Conclusion
Online shopping and e-commerce in general have grown
tremendously in recent years, making the demand for
more tailored information services for clients even more
critical. Agent-based e-shopping systems outperform
those that don't use agent technology, according to the
results of this study. In terms of execution time, it
outperforms the conventional web-based e-shopping
system. An intelligent shopping system might be built in
the future. Commodities that are not regularly purchased
by consumers will be served by a multi-agent system in
this study. The system uses a multi-attribute decision-
making process to propose the best items based on a
combination of the system's own expert knowledge and
the current demands of the consumer. Customer-based
collaboration filtering is used by the system to propose
items that are less time-consuming for customers. In
addition, the commodity ontology is used to allow the
sharing of information format and representation in
order to continue a semantic discussion with sellers.
REFERENCES
[1] Zhang Yuheng and N.Ch.S.N. Iyengar, "Agent Based
Architecture Media On Demand With Service Continuity
"International Journal of Advances in Science and
Technology, Vol.2,No.1,(2011)
[2]ZimingZeng, "An Agent based Online Shopping System
in Ecommerce", Computer and Information Science,
Vol.2, No. 4, November (2009)
[3] Michał Drozdowicz, Maria Ganzha, MaciejGawinecki,
Paweł Kobzdej, Marcin Paprzycki, “DESIGNING AND
IMPLEMENTING DATAMARTFOR ANAGENT-BASED
ECOMMERCE SYSTEM", IADIS International Journal, Vol.
6, No. 1, pp.37-49, ISSN: 1645 – 7641, (2008)
[4] Zeng Zi-ming and Meng Bo," An Intelligent Shopping
System Based on Multi agent Collaborative Working
Model", CCECE/CCGEI,Saskatoon,May2005,0-7803-
8886-0/05,©2005IEEE
[5]Braz, Christina, cho, Ambroise, "MBAOS: A Mobile
Bargain Agent for Online Shopping",
IFT6862ARTIFICIALINTELLIGENCE (WINTER2003)
[6]Kwang HyounJOO, Tessuo KINOSHITA, Nario
SHIRATORI, "Design and Implementation of an Agent
Based Grocery Shopping System", IEICE, Vol.E83D,
NO.11, November2000
[7]Courtney Mc Tavish, Suresh Sankaranarayanan,
"Intelligent Agent based Hotel Search & Booking
System", Proceedings of the 9th WSEAS International
Conference on Telecommunications and INFORMATICS,
2009
[8]HeshamM.Kamel, MozaAl-Nasseri, MaryamAlary any,
HamdaAlwar, "The Smart Shopping System (SSS): An
Adaptive Eshopping Application for Reflecting the User’s
Personal Model", ftp:
//amd64gcc.dyndns.org/WORLDCOMP06/EEE4609.pdf
[9] A. Madhavi V. Surya Narayana Reddy, “Automated
detection of fake profiles using simple framework: SVM”,
International Journal of Advance Computing Technique
and Applications, Vol 4, Issue 1, June 2016

[10] Tan Xueqing, Zeng Ziming"A Shopping Modelin
Agent mediated Electronic Commerce"
http://www.seiofbluemountain.com/upload/product/2
00911/2006zxqyhy09a1.pdf
[11]Developing Multi-Agent Systems with JADE Fabio
Bellifemine, Giovanni Caire, Dominic Greenwood
Copyright ©2007 John Wiley & Sons, Ltd
[12] Javier Bajo, Ana de Luis, Angelica Gonzalez, Alberto
Saavedra and Juan M. Corchado, "A Shopping Mall Multi
agent System: Ambient Intelligence in Practice",
http://bisite.usal.es/webisite/archivos/publicaciones/o
trosCongresos/2006/wucami06shoppingmallambientint
elligencev2.pdf
[13]http://trichy.quikr.com/study-onintelligent-e
shopping system- based-on- data-mining- Education-
Learning/study-onintelligent-e-
[14] Ganesan, T., Anuradha, S., Harika, A., Nikitha, N., &
Nalajala, S. (2021). Analyzing Social Media Data for
Better Understanding Students’ Learning Experiences.
In Intelligent Data Communication Technologies and
Internet of Things: Proceedings of ICICI 2020 (pp. 523-
533). Springer Singapore.

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