Forecast Value Added (FVA) is a metric that evaluates each participant's performance in the forecasting process. It helps decide which adds value and which doesn't. We should not take for granted that all forecasters (both persons and algorithms) add value to a...
Hybrid approaches that blend experts’ forecasts with complex machine learning algorithms are often the best tool for accurate healthcare demand forecasts. Healthcare demand forecasters tend to rely heavily on judgment, despite the inherent bias and inefficiencies...
In the healthcare industry, Artificial Intelligence can dramatically improve the forecasting accuracy of demand estimates. Demand forecasting is an analytics field that attempts to predict customer demand to optimize supply decisions. In the Pharmaceutical industry,...