Banks Move Credit Decisions to the Transaction Level

Banks are fundamentally changing how they approve credit by moving away from broad credit limits toward transaction-level approvals. Traditionally, a lender gave a customer a flat credit line to use anywhere. Now, lenders are using AI to evaluate specific purchases at the point of sale. This shift means a customer might be approved for a $2,000 sofa but denied for a $2,000 cash advance based on the risk profile of the specific transaction and the merchant. For retailers, this is a major win. It allows banks to say 'yes' to high-ticket purchases that might have been declined under old-school credit rules. By looking at exactly what is being bought, lenders can lower their risk. This often leads to better terms for the consumer and higher conversion rates for the shop owner. It mimics the Buy Now, Pay Later (BNPL) model but brings the massive balance sheets of traditional banks into the fold. This technology also helps manage fraud in real-time. Instead of blocking a card entirely, banks can now scrutinize individual large transactions based on the context of the sale. As these AI-driven decisions become the standard, retailers should expect smoother checkouts and more tailored financing offers that match the price point of their specific inventory.

Source: PYMNTS

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