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These forecasts are preferred when there is a desire to engage individuals within the organization with a key business process. A potential pitfall of this technique is that some individuals base their judgments of future events on historical data, which may not provide relevant demand patterns that are stable enough to warrant their use to forecast future events...

Additionally, emerging demand patterns may be too unstable for a numeric approach. Consequently, intimate knowledge of the market should be the data source of choice.

There are numerous qualitative approaches to demand forecasting, following are some of the more common approaches:

?X Grass-Roots Forecasting seeks input from people at the level of the organization that gives them the best contact with the event under study (Chase, 2005)...

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