#everydayai Everyday Artificial Intelligence: AI and Your Credit Cards

#everydayai Everyday Artificial Intelligence: AI and Your Credit Cards

Machine learning is used for fraud prevention in online credit card transactions. Fraud is the primary reason for online payment processing being more costly for merchants than in-person transactions.

Square, a credit card processor popular among small businesses, charges 2.75% for card-present transactions, compared to 3.5% + 15 cents for card-absent transactions. AI is deployed to not only prevent fraudulent transactions, but also minimize the number of legitimate transactions declined due to being falsely identified as fraudulent.

Square said the following about its AI system:

In a note to clients Friday, Mizuho analyst Thomas McCrohan highlighted how payments companies are making good use of machine learning, a form of artificial intelligence. Square, he wrote, is leading the pack, as the company’s goal “is to approach every business challenge through the lens of machine learning.”

He points out that while the company ends up processing about 3 million transactions per day, it only has to manually review fewer than 2,000 of them for fraud, thanks to artificial intelligence.

AI also enables the company to send more targeted mailings, which helps Square gain new customers cheaply. Square’s algorithms can also help the company upsell current clients on additional products like loans and payroll management, which have become crucial to growth. “Square’s internal models trigger staff to call or email a client when the data suggests the client would be most receptive to a new value-add service,” McCrohan wrote.

Square’s Machine Learning Obsession is Paying Off

Barron's July 14, 2017 (click here)

About Mastercard's Use of AI

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In a press release announcing the rollout of its AI technology, MasterCard noted that 13 times more revenue is lost to false declines than to fraud. By utilizing AI that can learn your purchasing habits, credit card processors minimize the probability of falsely declining your card while maximizing the probability of preventing somebody else from fraudulently charging it.

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