How AI-driven commerce can impact disputes and post-purchase experiences

Traditionally, a payment transaction captured only a narrow set of signals: who was paying, where, and how much. Intelligent commerce changes that model. Today, transactions can carry deeper signals gathered throughout the customer’s journey—signals that reflect their intent, permissions, and expectations. This evolution helps the ecosystem to confirm with greater confidence that a transaction reflects what the customer actually meant to do.

That distinction matters because many disputes are not rooted in criminal fraud, but in ambiguity. Sixty‑four percent of merchants report rising first‑party misuse, which occurs when consumers dispute transactions they don’t recognize, don’t recall approving, or don’t align with their expectations.¹ First‑party misuse now accounts for approximately 17% of all fraudulent disputes, highlighting how often post‑purchase friction stems from intent gaps rather than malicious activity.¹

Intelligent commerce helps reduce that ambiguity by strengthening the link between consumer intent and execution. By validating transaction parameters like approved merchants, price limits, timing, or context in real time, commerce becomes more predictable and transparent. Merchants can be more confident that transactions are not only authorized, but clearly aligned with the guardrails established by the consumer.

When disputes do occur, that added context becomes invaluable. Today, 83% of merchants rely on compelling evidence to resolve disputes, and the data shows a notable shift toward richer, item‑level information and transaction context rather than narrow device or account data.¹ This trend reflects an industry‑wide move toward greater transparency and traceability — exactly the kind of knowledge that intelligent commerce is designed to provide natively.

The stakes are high, as resolving disputes after the fact is costly and time‑consuming. The average cost to resolve a single first‑party misuse dispute now exceeds $80 and continues to climb.¹ At scale, those costs add up quickly, making prevention far more valuable than remediation.

Dispute pressure also remains widespread. Sixty‑one percent of merchants report increases in refund and policy abuse, and dispute‑related issues affect merchants across all regions and verticals.¹ This reinforces why intelligence must operate proactively, as transactions are unfolding, rather than reactively after a customer has already lost confidence.

What makes this truly significant is that intelligent commerce operates in real time. Signals are evaluated as transactions happen, not after trust has already eroded. That allows good transactions to flow through seamlessly, questionable activity to be flagged with precision, and customer expectations to be validated earlier in the journey.

Ultimately, intelligent commerce is about strengthening relationships. By embedding context, intent, and transparency into the transaction lifecycle, the ecosystem creates a shared understanding of what was authorized, what occurred, and why. That shared understanding reduces disputes, builds confidence, and improves experiences long after a customer clicks the “buy” button.

As commerce continues to evolve, the ability to confirm consumer intent, reduce ambiguity, and simplify dispute resolution will be crucial for the next generation of trusted payment experiences. Intelligent commerce is not just an enhancement—it’s a foundational step toward a more confident, efficient, and trusted payments ecosystem.