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Simple forecasting model outperforms complex engines in recent comparison

In a recent test, a seasonal naïve forecasting model significantly outperformed six more complex models, achieving an 8.9% MAPE compared to 14.4% for the best complex model. This reveals that WFM teams often select models based on perceived sophistication rather than accuracy. Learn how the right model choice can…

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