How uniopen customized Amazon Nova to their retail moderation policies for production deployment
uniopen fine-tuned Amazon Nova 2 Lite for proprietary two-axis retail content moderation in production
Taiwan-based retail platform uniopen adapted Amazon Nova 2 Lite via supervised fine-tuning in SageMaker to enforce a business-specific moderation taxonomy spanning nine behavior categories and three subject types. The architecture separates the live moderation path from a human-verified correction loop, using Nova 2 Pro to generate candidate corrections that a human must approve before entering the training set. This is a practical case study in domain-specific LLM adaptation for moderation, but represents incremental applied engineering rather than a novel industry signal.