Category: Merchant Integration

How merchants can define, monitor, and enforce SLAs for agentic commerce systems to prevent revenue loss and maintain customer satisfaction.

AI agents autonomously process returns and handle customer dissatisfaction. Here’s how merchants manage refund logic, exchange workflows, and dispute resolution at scale.

Most merchants running AI agents have no visibility into per-transaction costs. Here’s how to build attribution models that actually work.

Why faster AI agents don’t always convert better—and how to measure the real ROI of speed in agentic commerce.

AI commerce agents executing autonomous transactions must comply with Internal Revenue Code (IRC) Section 6001 record-retention requirements, file IRS Form 8949 for capital asset transactions, and satisfy economic nexus obligations established by South Dakota v. Wayfair, 585 U.S. ___ (2018) across all state jurisdictions conducting sales. Merchants deploying AI purchasing systems must apply Financial Accounting…

AI autonomous agents in e-commerce transactions introduce chargeback risk through non-human payment decisions, including unauthorized initiations and anomalous spending patterns that exceed traditional fraud vectors. Merchants deploying agentic commerce systems can reduce chargeback disputes by implementing machine learning-based fraud detection, real-time transaction monitoring, velocity limits, and behavioral analytics frameworks—governance controls specifically architected for agent-driven commerce…