If you’ve spent any length of time in demand planning, you know the drill: Forecasts built on historical data, endless Excel manipulation, and the elusive white whale of “the perfect plan.”
I bet you’ve also noticed how much the supply chain planning landscape has evolved over the years. Not just the rise and adoption of advanced planning systems (APS), but also the need for more scenario-based modeling, adapting to operational constraints, and the strategic gaps left by traditional forecasting methods.
