Reviewing the Reviewer: Graph-Enhanced LLMs for E-commerce Appeal Adjudication
We transform historical reviewer corrections into retrievable Evidence-Action-Factor-Decision graphs, then use them to ground recommendations for new seller appeals. The deployed system achieved 96.3% cumulative alignment with human experts in production.