MasterCard introduces Artificial Intelligence to help financial institutions reduce false declines

30 noiembrie 2016

MasterCard is adding artificial intelligence as a core component to its network in an effort to provide better risk scoring across all transactions and cut the number of false declines which has a cost estimated at USD 118 billion per year.

Mastercard today introduced Decision Intelligence, a comprehensive decision and fraud detection service. The solution uses artificial intelligence technology to help financial institutions increase the accuracy of real-time approvals of genuine transactions and reduce false declines.  „This is the first use of AI being implemented on a global scale directly on the Mastercard network.”, according to the press release.


„Current decision-scoring products are focused primarily on risk assessment, working within predefined rules. Decision Intelligence is a radical new approach that goes much further. It takes a broader view in assessing, scoring and learning from each transaction. That score then enables the card issuer to apply the intelligence to the next transaction.”, the company says.

“We are solving a major consumer pain point of being falsely declined when trying to make a purchase,” said Ajay Bhalla, president of enterprise risk and security, Mastercard. “By using AI technology on our global network, we’re helping financial institutions and merchants improve approval rates – and the consumer experience.”

How It Works
Building on other proprietary services, Decision Intelligence is a new way of solving an old problem using sophisticated algorithms to provide a predictive score to the issuer, based on intelligent analysis. They then incorporate that information into their existing fraud mitigation efforts. Alternatively, issuers can activate the holistic Mastercard tool, which makes data-driven, real-time decisions tailored to the account, including defined alert and decline thresholds.

The smart technology behind Decision Intelligence examines how a specific account is used over time to detect normal and abnormal shopping spending behaviors. In doing so, it leverages account information like customer value segmentation, risk profiling, location, merchant, device data, time of day, and type of purchase made.

Over the last few years, the industry has been increasingly focused on protecting payments and combating fraud, which is why striking the right balance in approving transactions and managing fraud is important.
“We estimate that in the U.S. alone, the value of false declines is more than 13 times the total amount lost to actual card fraud,” said Al Pascual, senior vice president, research director and head of fraud and security at Javelin Strategy & Research. “Applying machine learning to decision-scoring is a new way of creating a positive consumer experience, while also minimizing fraud.”

The addition of AI as a core component of the Mastercard network will deliver an enhanced fraud score for every transaction. This new functionality can help improve the accuracy of real-time approvals of genuine transactions and reduce false declines. In specific verticals, like fuel or ATM, the information could be used in real-time to react to potential concerns much quicker, reducing operational expenses like chargebacks.

This technology is a core feature on the enhanced World Elite platform and it also supports all Mastercard brands and products across all markets.

Source: MasterCard

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Gabriela Nistor – director general adjunct BT

Tendinţele pe care le-am remarcat înainte de începerea pandemiei s-au accelerat pe perioada stării de urgenţă. Am văzut acest lucru ca o oportunitate, un tipping point pentru bancă. Post-pandemie nu avem cum sa ne întoarcem la comportamentul financiar pe care îl aveam până în februarie a.c. Relaţia românilor cu online-ul s-a schimbat. In plus, cardul fizic se va dematerializa. Vom asista la o scădere a cererii pentru cardurile fizice, respectiv la o creştere a preferinţei pentru componenta digitală a acestora.”

Sondaj

In 23 septembrie 2019, BNR a anuntat infiintarea unui Fintech Innovation Hub pentru a sustine inovatia in domeniul serviciilor financiare si de plata. In acest sens, care credeti ca ar trebui sa fie urmatorul pas al bancii centrale in 2020?