—
The nine forecasting methods and when to use each
From naive to ARIMA and SARIMA: strengths, weaknesses, and ideal use for each method, plus how they can be blended automatically.
ⓘ This article is educational, not binding professional advice. For specific planning decisions, consult your planner or advisor.
- Hyndman & Athanasopoulos, Forecasting: Principles and Practice (3rd ed.)
- Croston, Forecasting and Stock Control for Intermittent Demands (1972)
- Winters, Forecasting Sales by Exponentially Weighted Moving Averages (1960)
Related
-
Forecasting
Forecast accuracy: which metrics actually matter?
MAPE, MAD, RMSE, MASE — each metric tells a different story. Learn to read them and when to use which, so the numbers never mislead your decisions.
-
Forecasting
Croston: a friend for intermittent demand
Sporadic-demand products make simple averages misleading. Learn how Croston and its variants handle high-mix, low-volume SKUs.
-
Planning
Demand forecasting vs demand planning: not the same thing
Forecasting estimates; planning decides. Understanding the difference is the key to a healthy plan-commit cycle.