A Profound Research on Purchasing Behaviour of Female Towards Online Shopping of Apparels in Coimbatore City

Abstract

The modern development of e-commerce and consumer’s growing attention in purchasing through internet has radically distorted the scenery of Indian online trade industry. Online shopping becomes a mode of life for Indians especially working women. Indian online market is expected to increase from US$ 39 billion in 2017 to US$120 billion in 2020, growing at an annual rate of 51%. The recent emergence of online shopping is the hub to the consumers who are interested in purchasing online. The current research aims at analyzing the factors that induce the female buyers to shop online and their intension towards online-shopping. The study identified various barriers which affect online purchase by females towards apparels. From the widespread literature assessment, factors influencing the female customer purchase intentions and attitudes were identified through structured questionnaire method. From the study it has been found about female consumer demographics and purchase intentions to buy goods online and how the online market will be in future. The suggestions were given to the customers and the online retailers to the successful business.

This paper presents a vast comparative study of various different techniques used for banana yield. The data mining algorithm  that is used for the banana yield  is K-Means.