In Brazil, e-commerce is already part of the daily lives of citizens, being one of the favorite ways to make purchases. Just to have a database, recent data from the BigDataCorp survey show that the number of websites destined for online acquisitions has increased more than 45% since 2014, totaling 20 million pages. In addition, a survey by the Brazilian Association of Electronic Commerce (ABComm) points out that the total sales of the segment reached more than R$ 44 million only in the first quarter of this year.
However, as in every successful industry, attention is needed. This is because criminals take advantage of this popularity to try to deceive both companies and consumers and, with it, make easy money. Juniper Research data attests that, by 2027, losses from fraud in online payments can reach US$ 343 billion globally.In the case of Brazil, ClearSale study pointed out that, in the last year, the value of coup attempts reached R$ 3.5 billion.
As much as consumers are also injured with fraud, usually the shopkeeper is the one who pays the duck, since in most cases it is he who is left without the product and still needs to cashback for customers who have been victims on their platform. Thus, at the level of information, below are the four most common e-commerce scams and how companies can prevent themselves.
Self-fraud
In this type of scam, the criminal makes a purchase normally through the e-commerce platform. However, after the arrival of the product, he opens a complaint and claims that the goods were not delivered. Thus, he receives a refund from the shopkeeper even having the item in hand, giving double damage to the online store.
Identity theft
Using stolen information such as credit card number and CPF, scammers make several purchases in the virtual store, often breaking the bank limit of the poor victim. When discovered the scam, the problem becomes the shopkeeper, who in addition to being without the goods, still need to reimburse the consumer who had the information used in an unauthorized way.
Interception coup
Also using a stolen card, criminals make a purchase in e-commerce and record the victim's address. However, once the order has been completed, the evildoers contact the e-commerce platform and claim to have “errado the local”, asking for delivery to be made in another location.
Card testing
In possession of a stolen card, criminals start making small purchases to check if the anti-fraud system of e-commerce detects them. If they go unnoticed, they start making larger and larger acquisitions, leaving a financial breach for the victim.
To avoid these types of scams, a technology has proven very effective: Artificial Intelligence. Data from the Association of Certified Fraud Investigators (ACFE) indicate that, worldwide, 18% of professionals in the fraud-fighting segment already use AI and Machine Learning in their work.In addition, a study by Nvidia showed that 78% of professionals in the financial sectors have also used AI to face challenges related to scams.
This is because by using AI combined with data analysis, it is possible to identify individuals more prone to fraudulent actions, since the technology makes a complete analysis of all the virtual traces of this person, including online behavior. In this way, it is possible to obtain a true dimension of their intentions and attitudes in the virtual environment.
In addition, with Machine Learning, which is machine learning, the system of e-commerce players is recognizing the patterns of the most common scams. With this, automatically, the technology differentiates a legitimate transaction from a fraudulent one thanks to specifications that only this solution can detect, since scammers are increasingly informed and creative in their endeavors, immune to traditional methods.
