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AI Shifts Underwriting From the Person to the Purchase

New AI models are moving beyond the credit score to analyze specific purchases, promising higher approval rates for retailers and specialized lending.

AI is fundamentally changing how your customers get approved for financing at the point of sale. Traditionally, lenders looked almost exclusively at a customer’s credit score to determine risk. Now, new AI-driven models are shifting the focus from the person to the specific purchase. This means lenders are analyzing what is being bought, its resale value, and the context of the transaction to make instant credit decisions. For retailers, this technology could unlock sales that were previously impossible. A customer with a mediocre credit score might be denied a generic personal loan but approved for a specific high-value item if the AI determines that purchase represents a lower risk profile. This ‘item-level’ underwriting allows for more nuanced approvals. It helps lenders offer better terms for durable goods that hold value. As a result, merchants can expect higher conversion rates and more tailored financing offers that match the specific products they sell. This shift makes Buy Now, Pay Later (BNPL) and traditional point-of-sale loans more flexible and inclusive, potentially expanding your reachable customer base without increasing your store's risk exposure.

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