Retailers spend enormous energy optimizing what customers see: the storefront, the checkout flow, the loyalty offer. But a quieter, equally consequential decision happens behind every transaction, one AI is now making in milliseconds and most merchants never see. Which network should this payment route through? Is this transaction legitimate or risk? Should this decline be retried, or was it a false alarm that just cost a sale? Individually, these micro-decisions seem operational. Collectively, across millions of transactions, they add up to real margin, real revenue recovered from false declines, and real exposure eliminated from fraud and chargebacks. This session explores how AI/ML models, trained on transaction patterns across the full payment ecosystem, are turning cost, risk, and approval from three competing tradeoffs into one optimized decision, and why the retailers who treat this as a strategic capability rather than a back-office function are starting to see a measurable edge. We'll examine what's changing, what's now possible, and the questions retail leaders should be asking about the intelligence running underneath their payment stack.