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Is it possible to measure the quality of Intermittent Demand forecasts?

Forecasting products where demand is intermittent (ID) has long been a problem for forecasters.

The reason for this is that, where the historic record contains many periods with zero demand, it is difficult for forecasting algorithms to pick up the correct demand signal to drive the forecast. And this is a non-trivial problem.  

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