Published Paper Details:

Electronic communication commonly known as e-commerce has been a boon for modern businesses. E-commerce involves buying and selling of goods and services, transferring of funds thus refining relationships for value creation over an electronic media, predominantly the internet. E-commerce has created such a disruption in the traditional way of doing businesses that no single business, how large or small, was left untouched by it. It has revolutionized the way how businesses are done and how transactions used to take place between two parties. While offering every service a traditional business offers, e-commerce has fulfilled all the drawbacks and challenges. It had improved the customer service, transaction speed, balancing the difference between supply and demand and bridged the gap between the retailer and consumer drastically. While e-commerce revolution has significantly impacted the business practices, expanding its foot to every nook and corner by bringing all types of businesses online it came to a standstill when COVID-19 started impacting the world. E-commerce which ruled over the business practices came to a halt overnight due to the logistical problems which occurred due to the complete shutdown of transportation due to COVID-19 restrictions. But when the COVID-19 restrictions were lifted, and transportation resumed there was once again a boom in the e-commerce businesses and so did the crime over the internet. This is where machine learning came into play. In this paper we will be talking about E-Commerce business trends and how they are evolving and the security problems that are occurring in the ecommerce. What is the future of e-commerce with machine learning and how COVID-19 impacted the e-commerce.