dailyai.report

Twenty-four behavioral elements form the core of SemantiClean, a new modular framework for e-commerce intent inference. It trades marginal predictive gains for structural governance and reproducibility using the OSPI dataset. This architecture creates defensible decision trails for purchase intent and customer segmentation. Practitioners gain a transparent alternative to opaque end-to-end predictors.