Episode 122 of Fintech Conversations with Fexingo dives into a fresh angle: how lenders use real-time shopping cart abandonment data to offer dynamic, just-in-time credit at checkout. Lucas and Luna break down the mechanics—how a fintech like Klarna or Affirm might integrate signals like cart value, item category, and user intent to adjust APR or limit in milliseconds. They walk through a concrete example: a customer hesitating on a $400 laptop accessory, and how the system lowers the installment rate from 12% to 7% based on browsing behavior and past repayment. The hosts discuss the data sources (browser APIs, merchant plugins), the underwriting model (short-duration, high-frequency), and the risks (adverse selection, privacy backlash). Tied to July 2026, they note the regulatory environment—CFPB guidance on time-bound offers and opt-in consent. The episode closes on the question of whether this creates better borrowers or just more debt. Includes a brief, organic donation segment for listener support.