dailyai.report

Twenty-four behavioral elements form the core of SemantiClean, a new modular framework for e-commerce session analysis. The system trades marginal predictive gains for structural governance and reproducibility. By using a shared element library, it creates defensible decision trails for purchase intent. Practitioners gain a transparent alternative to opaque end-to-end predictors.