
Yes, and the combination is increasingly common. DDMRP provides the structural framework: decoupling, buffers, exception management. Probabilistic AI replaces the heuristic factors at the heart of buffer sizing with per-SKU demand distributions and dynamic adjustments learned from data. The result is a DDMRP-shaped planning model with measured uncertainty under the hood, rather than category-level rules of thumb. B2Wise, for instance, has added machine learning forecasting on top of its DDMRP-native suite; Flowlity built probabilistic AI as the core platform and applies DDMRP-shaped logic as one mode among others.