Forecast bias refers to the consistent deviation of forecasted values from actual outcomes, often indicating that forecasts are systematically overestimating or underestimating demand. This bias can arise from a variety of sources, including errors in data collection, flawed forecasting models, or inherent assumptions within those models. Identifying and correcting forecast bias is crucial as it can lead to inefficiencies in inventory management, resource allocation, and overall supply chain performance.
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