This invention describes a system for improving the success rate of payment transactions. When a merchant sends a payment request, a special processor intercepts it and adjusts details of the payment request based on historical data about what makes transactions get approved. The modified request is then sent to the bank, and its outcome is added back to the historical data to refine future adjustments.
Why it matters: Filed before the widespread availability of highly optimized, real-time machine learning platforms. Generating authorization success factors from large datasets is now significantly more efficient and accessible, potentially lowering development costs and improving accuracy.
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