Twenty-four behavioral elements form the core of SemantiClean, a new framework for e-commerce intent inference. It trades marginal accuracy gains for structural governance and reproducible decision trails. Researchers tested the system using the OSPI dataset. This approach allows practitioners to audit why a model predicts a purchase rather than trusting a black box.