COVID-19 Effects on Electronic Shopping : A Review
Keywords:
Online Shopping, Accuracy, Market Analysis and Prediction, COVID-19Abstract
It was before 25 years in 1994 when the first documented online purchase was made. Since then, Online shopping has grown exceedingly to make millions and trillions today. The COVID-19 is a infectious disease that spreads mainly by droplets generated when an infected person sneezes or speaks and by touching infected surface as well. Hence, it is suggested to maintain a safe distance and avoid touching unknown surfaces. Following these guidelines people avoided offline work including shopping. In this way online business got a lot of promotion immediately. Few industries have luckily experienced tremendous growth during and after COVID-19 but few have even faced losses as never before. This is based on the kind of product we take in consideration. I In this paper we have attempted to analyse and predict the online shopping market before and after the pandemic applying various Supervised Machine Learning algorithms on the data available for Maximum accuracy. This Research will help online businesses to make more profit analyzing the public demand and the conditions.
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