Time Series Forecasting - Is the Golden Metric You Want to Shoot For?

There are two aspects of ar not widely deficient when it comes to evaluating forcasts. Andte one is the cost of the forecast error. How much does it raslead to utility ather tis is inventory stock holding or customer service level, or anything else? But also from a detmental perspective, how many human do we eed? How many demand planes or manages we need to take care of the forecasts? Or to apply this mental devent and sodai'm very interested in that third.