Machine learning plays a pivotal role in effective fraud prevention systems. In this article, learn how machine learning can significantly improve your business' ability to stop fraud attacks. With the recent surge in e-commerce usage globally, the possibility of an online fraud attack is at an all-time high. This would represent an 18% increase in fraud losses compared to the US$17.5 billion recorded in 2020. Customers want to have the assurance that they can purchase products without experiencing a false decline, and merchants want to feel that they can trust the legitimacy of new incoming transactions.

It is hard to underestimate the role of E-commerce in a world where most communications happen on the web and our virtual environment is full of advertisements with attractive products and services to buy. Meanwhile, it is obvious that many criminals are trying to take advantage of it, using scams and malware to compromise users' data. The level of E-commerce fraud is high, according to the statistics. With E-commerce sales estimated to reach $630 billion (or more) in 2020, an estimated $16 billion will be lost because of fraud. Amazon accounts for almost a third of all E-commerce deals in the United States; Amazon's sales numbers increase by about 15% to 20% each year. From 2018 to 2019, E-commerce spending increased by 57% -- the third time in U.S. history that the money spent shopping online exceeded the amount of money spent in brick-and-mortar stores. The Crowe UK and Centre for Counter Fraud Studies (CCFS) created Europe's most complete database of information on fraud, with data from more than 1,300 enterprises from almost every economic field.

As e-commerce has revolutionized the way we buy and sell online, we are no longer bounded by borders or time zones. Goods can be purchased from anywhere around the world at any time of day. Because of this, traditional rules-based fraud detection systems have become outdated and no longer work. Today, real-time payments require real-time fraud detection. Modern payment fraud schemes require modern prevention With so many transactions being done electronically, it's nearly impossible to have humans alone monitor these transactions and keep fraud and error rates down to acceptable levels.