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Machine Learning Boosts Financial Inclusion and Credit Efficiency, Experian Study Finds

Experian’s research shows machine learning enhances credit access, reduces bad debt, and improves risk prediction for sustainable financial growth.

KUALA LUMPUR: Machine Learning (ML) is driving major improvements in financial decision-making, according to Experian’s latest study conducted by Forrester Consulting. The report found that 91% of organisations using ML saw higher vehicle financing acceptance rates, while 88% recorded lower bad debt levels.

Financial Inclusion

Experian said ML enables financial institutions to expand access to underserved consumers by analysing richer and alternative data sources, helping lenders make fairer, more inclusive decisions. About 70% of ML adopters said the technology allows them to reach new customer segments, while 69% cited improved profitability and reduced risk.

Experian Malaysia CEO Dawn Lai said ML is emerging as a key enabler of financial inclusion in Malaysia, helping lenders make faster and more accurate decisions. Experian EMEA & APAC CEO Mariana Pinheiro added that ML is unlocking access to credit for millions traditionally excluded from the financial system.

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