The COVID-19 pandemics have a major collision on every aspect of life, including how people shop for their requirements. As the pandemic has reshaped life as we know, it’s also initiated many trends – but the biggest of these trends may be online shopping. The shift toward online shopping was happening before the pandemic, but according to new statistics from IBM, the COIVD-19 has accelerated consumers shift toward online shopping by 5 years. The chief idea of the article is to inspect if the situation is approaching people to purchase things online and the continuation of shopping things online even after the end of pandemic. The information for the article has been gathered by circulating the survey on social networks. The questionnaire is comprised of 12 different questions, and 615 people responded to it. This work is based on LRFM (Length, Recency, Frequency, and Monetary) replica and separation of data based on the questionnaire using K-Means algorithm. Silhouette analysis helps to decide the extent of division among clusters. The results of the survey has a termination that people are fond of purchasing products online through the lockdown and people too agreed that the rate of online shopping will increase in the future when this pandemic is over.

COVID-19 大流行对生活的各个方面产生了重大影响，包括人们如何购物以满足他们的需求。正如我们所知，大流行改变了生活，它也引发了许多趋势——但其中最大的趋势可能是在线购物。向在线购物的转变发生在大流行之前，但根据 IBM 的新统计数据，COIVD-19 将消费者转向在线购物的速度加快了 5 年。这篇文章的主要思想是检查情况是否正在接近人们在网上购物，以及即使在大流行结束后，网上购物的继续。本文的信息是通过在社交网络上传播调查收集的。问卷由 12 个不同的问题组成，有 615 人回答了它。这项工作基于 LRFM（长度，Recency、Frequency 和 Monetary）基于使用 K-Means 算法的问卷的数据复制和分离。轮廓分析有助于确定集群之间的划分程度。调查结果表明，人们喜欢通过封锁在网上购买产品，人们也一致认为，当疫情结束后，未来网上购物的比例会增加。