
Maintaining the delicate balance between overstocked warehouses and empty shelves remains one of the most persistent hurdles for modern distribution and manufacturing entities relying on Microsoft Dynamics 365 Business Central. While the platform offers native forecasting capabilities through Azure Machine Learning, a significant disconnect often exists between the raw statistical predictions and the practical, day-to-day replenishment parameters required by warehouse










