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Forecasting Methods & Demand Signals
Choose a forecasting approach that fits the demand pattern and the data you have.
Inside this lesson
- Differentiate between qualitative and quantitative forecasting techniques and identify when to use each.
- Decompose a time series into its level, trend, seasonality, and noise components.
- Evaluate the mechanics and appropriate use cases for naive, moving average, and exponential smoothing models.
- Compute a 3-period simple moving average and a single exponential smoothing update using the formula F_next = F + alpha * (A - F).
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Educational training content only - not legal, financial, customs, or professional advice, and not a promise of any operational or business result. Examples are illustrative and use hypothetical data with stated assumptions and units. Trade-term and regulatory context is general and jurisdiction-neutral; always confirm current rules with a qualified source. Third-party names are descriptive and imply no affiliation.