What does configuring demand input weights enable a planner to do?

Configuring demand input weights allows a planner to adjust the weight of different forecast categories when generating a demand forecast. By doing so, the planner can prioritize certain categories based on historical performance, market trends, or other strategic considerations. This flexibility helps improve the accuracy of forecasts, as the planner can emphasize more relevant data sources or categories that are more influential in current planning scenarios.

This capability enhances the demand planning process by allowing for a more nuanced approach to forecasting. Rather than relying on a uniform method or treating all categories equally, the planner can fine-tune how much influence each category has on the overall forecast. This is particularly useful in dynamic markets where different products or categories may experience varying levels of demand volatility.

The other options do not accurately reflect the functionality provided by demand input weights. For instance, eliminating all forecast categories would negate the ability to create a forecast altogether, which is not the intention of configuring weights. Ignoring consensus demand planning contradicts the collaborative spirit of demand forecasting. Additionally, relying solely on historical data would limit the forecast's adaptability, preventing planners from adjusting to current market conditions or insights.