
Automation in Supply Chain management refers to the use of software and AI to automate planning, forecasting, inventory optimization, and decision-support processes that were traditionally manual. The most valuable form of automation goes beyond workflow execution and addresses decision logic itself. When forecasts, dynamic buffers and replenishment proposals are computed automatically per SKU and location, planners stop spending most of their day producing numbers and start interpreting them. The KPIs that benefit most are service level stability, working capital and reaction time, since the same engine can be replanned continuously as conditions change rather than only at fixed monthly or quarterly cycles.