The No-Nonsense Guide to Forecasting

The three principles of modern demand forecasting, and the five data types needed for a best-in-class forecast

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No matter what types of products you make or which technologies you use, a best-in-class forecast is based on one thing: unconstrained demand, or the amount that you would have sold if the product were always available on the shelf (physical or virtual), when and where a consumer wanted to buy it.

AI and machine learning, causal or seasonal factors, and more certainly help get you closer to a more accurate forecast, but they’re aren’t the biggest difference makers.

In The No-Nonsense Guide to Forecasting, we’ll dive into the three most important factors in building a more accurate forecasting process, including:

  • Data preparation
  • Baselining
  • Forecast adjustments
  • And the five types of data needed for an actionable forecast based on unconstrained demand

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