In forecasting, which component is used to adjust for expected changes in demand?

In forecasting, which component is used to adjust for expected changes in demand?

• A. Fixed multiplier
• B. Percentage of estimated increase or decrease
• C. Historical average
• D. Seasonal factor

Answer: (B)

The main idea is that forecasts are adjusted for changes you expect to happen by applying a percentage change to the base demand. This percentage captures how much demand is anticipated to increase or decrease due to factors like promotions, market trends, pricing, or new product introductions. Using a percentage of estimated increase or decrease lets you scale the base forecast to reflect those expectations precisely, and you can apply it to a baseline forecast to arrive at the adjusted figure. For example, if the base forecast is 100 units and you expect a 20% uplift from a promotion, the adjusted forecast becomes 120 units; if you anticipate a 5% decrease, it becomes 95 units. The other options don’t fit this purpose as well: a fixed multiplier is a constant factor not tied to a specific expected change, a historical average is just past data without incorporating forward-looking adjustments, and a seasonal factor accounts for recurring seasonal patterns rather than general expected changes across the forecast period.

The main idea is that forecasts are adjusted for changes you expect to happen by applying a percentage change to the base demand. This percentage captures how much demand is anticipated to increase or decrease due to factors like promotions, market trends, pricing, or new product introductions. Using a percentage of estimated increase or decrease lets you scale the base forecast to reflect those expectations precisely, and you can apply it to a baseline forecast to arrive at the adjusted figure. For example, if the base forecast is 100 units and you expect a 20% uplift from a promotion, the adjusted forecast becomes 120 units; if you anticipate a 5% decrease, it becomes 95 units. The other options don’t fit this purpose as well: a fixed multiplier is a constant factor not tied to a specific expected change, a historical average is just past data without incorporating forward-looking adjustments, and a seasonal factor accounts for recurring seasonal patterns rather than general expected changes across the forecast period.