Everyone wants to know: “How can we improve forecast accuracy?”

Across consumer goods brands, more accurate forecasts can enable teams to more intelligently allocate resources, optimize inventory, and maximize revenue.

However, efforts to build and test increasingly sophisticated models, including AI-based forecasts, have not significantly moved the needle. Getting to single-digit error rates can feel like trying to chase the holy grail when 30% errors remain average in the retail industry, based on IBF surveys.

Download this popular guide for straight talk about forecasting. You’ll learn best practices for:

• The one tried-and-tested conclusion about forecast accuracy everyone should know;

• The three key steps needed to set up a best-in-class forecasting process;

• The five types of data needed for actionable forecasting.