Ultimate guide to better forecast accuracy
Learn how to improve your forecast accuracy, with this deep dive into including out of stocks in forecasts, utilizing POS data in planning, incorporating seasonality the right way, and more.
With demand uncertainty and supply constraints, forecasting is more important than ever for consumer brands. Our guide shares ways brands can use their data to improve their forecast accuracy.
In this guide you’ll learn:
- The 3 Methods for incorporating out-of-stocks into your forecasts: A deep-dive into exclusion, imputation and categorical indicator variable (flagging) — and a guide to picking which one is right for your business.
- The role of seasonality in demand forecasting success: An overview of the types of seasonality, how to detect it, and modeling methodologies.
- Forecasting and planning accurately for launches and promotions: Take advantage of all relevant data to help get inventory pre-loaded in the right amounts at the right places before events that drive most of your sale.