Abstract
ONLINE SHOPPING CONTROLLING BY USING FUZZY
*Varsha M. Ghatule Dr. Archana T. Bhise and Prof. Dr. Magan P. Ghatule
ABSTRACT
Online Shopping has become a more preferred option as the Internet isa daily requirement for people nowadays. Due to its convenience,handiness, and anytime and anywhere shopping, variety of products,and numerous discounts and deals on goods, online shopping is themost favored choice for customers. The focus of this new era of ecommerceis on understanding the perception of consumers towardsonline shopping. A lot of studies have been done to learn moreknowledge about this ever-evolving sector. The goal of this paper is to get an idea of theattitudes of the customers towards shopping online about their growth regarding onlineshopping, artificial intelligence in E-commerce, and their technology. This paper outlines thenumerous components that have a moderating effect on loyalty, e-marketing, customersatisfaction, and appreciated value. In view of the scope and diversity of the customers, emarketingmust continue to be crucial for the unique market. Online platforms continue to beimportant because of the reach and the diversity of the customers meaning e-marketingshould target the unique market. Online customer reviews to test customer reviewsperformance. The technique pre-processes the text of the input using russification anddefuzzification and then uses the fuzzy logic of decision-making.
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