
No. Machine learning augments human decision-making rather than replacing it. It automates repetitive calculations, highlights risks, and proposes scenarios, while planners remain in control of strategic and operational decisions. The division of labor is clear in practice: the model handles the calculations no team can perform manually across thousands of SKUs, and the planner handles the exceptions and trade-offs where business context, supplier relationships and customer commitments matter. The benefit is leverage rather than replacement: planners cover a wider perimeter with the same headcount, and spend a larger share of their time on decisions that genuinely require judgment rather than on data preparation and routine number-crunching.