dailyai.report

Twenty-four behavioral elements form the core of SemantiClean, a new framework for e-commerce intent inference. The system trades marginal accuracy gains for structural governance and reproducibility. By using a shared element library, it creates defensible decision trails for purchase intent. This provides a blueprint for practitioners requiring auditable AI in retail.