A study on the E-commerce Trends using Data Analysis

Abstract

Over the years, numerous businesses transitioned to creating online access, which helped them towards gaining access to a global presence. With the rise of ecommerce businesses accessed through websites or social media platforms, many seemed to have failed to generate sufficient revenue for themselves. Machine learning, artificial intelligence, and data science have aided retailers in managing their supplies, creating a brand for themselves with the review system, and providing the customer with recommendations. Moreover, with the help of these recommendations, customers have made the right choices when purchasing a product. Thus, this is what all established retailers and their customers demonstrate. Due to a massive increase in e-commerce businesses, it is significant to have details of all the ongoing strategies in the current business to ensure a reasonable growth rate. This study will interpret the different trends, platforms, and strategies involved in an ecommerce business.

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