Marketplace AI Platform Architecture

Marketplaces must scale listing quality and policy enforcement without crushing seller velocity. Traditional manual review does not keep pace with listing volume or agentic discovery.

Risk-tiered automation: lightweight checks at submission, deeper ML and LLM-assisted review for sensitive categories, and appeals workflows with transparent reasons. Agents consume the same structured policy outcomes as humans.

Reduced unsafe listings and buyer disputes while improving seller time-to-active. Architecture emphasizes auditability—every automated decision links to evidence and policy version.