We’ve learned a lot about forecast accuracy and bias since the Demand Planning Intelligence Consortium launched in 2011.
Our model-based benchmarking approach takes a closer look at demand planning performance (all the way to the item-location level), so while we suspected it all along, now we have data which tells us that all forecasts are not created equal. To improve forecast accuracy and bias, a company must first segment its product portfolio to better understand their unique forecasting environment.
Chainalytics’ Jeff Metersky joined Lora Cecere, Founder and CEO of Supply Chain Insights, for a recent podcast to examine how Sales & Operations Planning (S&OP) has evolved in recent years and how our Forecastability Index helps companies understand their forecasting potential. The duo also discuss a few of the characteristics of best-in-class companies.
