AI Reframes Payment Choice as Real-Time Competition

PYMNTS' coverage of a PYMNTS On Air discussion featuring Avery Miller of Visa and Kipp Johnson of Braze reports that AI is shifting loyalty from a static rewards program to a real-time, transaction-by-transaction competition. The piece quotes Avery Miller and Kipp Johnson calling personalization "table stakes" and says the speakers framed the true differentiators as context, relevance, and the ability to use AI to orchestrate individualized customer journeys across the full lifecycle. PYMNTS also reports that participants identified organizational challenges, citing siloed data, fragmented customer views, and difficulty measuring AI effectiveness.

Companies adopting real-time, AI-driven loyalty typically need low-latency real-time scoring, unified feature store access, and robust streaming ETL to join payments, CRM, and behavioral signals. Industry-pattern observations: teams often underinvest in feature engineering pipelines and online evaluation tooling, which hampers delivery of contextual offers at authorization time. For practitioners, emphasis shifts from larger models to latency, data quality, and experiment design for per-transaction personalization.

Industry context: the conversation reflects broader payments trends where merchants, issuers, and networks compete on contextual value at point of purchase rather than on static rewards alone. Observed patterns in similar transitions suggest integration complexity and measurement gaps are recurring barriers to realizing promised uplift.

Indicators include adoption of streaming data platforms, integration of payment authorization APIs with personalization engines, rollout of online A/B or interleaving experiments for offers, and vendor partnerships focused on end-to-end latency reduction. PYMNTS has not published additional quantitative outcomes from the discussion.