Forecast Accuracy Versus Strategic Readiness For decades, the executive mantra has been: “If we can predict it, we can control it.” This belief has fueled massive investment in AI, machine learning, and advanced analytics to squeeze every percentage point of accuracy out of demand forecasts. Yet, as global supply chains face unprecedented volatility, a persistent […]
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Forecast Accuracy Is Not the Same as Strategic Readiness In corporate boardrooms, “forecast accuracy” has become a comforting metric—clean, quantifiable, and increasingly precise. Yet, organizations have learned a hard lesson: you can be statistically right and operationally wrong at the same time. Forecast accuracy is a measurement problem; strategic readiness is an execution problem. 1.
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Forecasting in an Era of Structural Breaks Introduction: Forecasting’s Golden Era Meets Structural Reality For decades, corporate strategists, economists, and policymakers relied on time-tested models—linear regressions, ARIMA/VAR frameworks, and long-horizon trend extrapolations—to anticipate economic conditions, consumer demand, and financial risk. These models implicitly presumed continuity, that the statistical relationships from the past would hold into
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Economic Forecasts in an Age of Structural Uncertainty In the aftermath of the pandemic and amid an intensifying polycrisis of geopolitical fragmentation, technological upheaval, demographic transitions, and climate risks, economic forecasting has entered a new era of structural uncertainty. Classic macroeconomic models built on historical inertia and equilibrium assumptions are increasingly tested by forces that
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