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

Download Guide:

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

Related resources


Guide

Get maximum value from your Target Partners Online retail data

Explore four ways successful consumer brands can get more out of their Target Partners Online data through automation, visualization, advanced metrics and exception-based reports.

Read now
Article

Alloy.ai Consumer Goods Index – May 2023 Edition

A disappointing Easter, a strong month for sales, and a troubling view of inventories See more sales and inventory trends for May, 2023 in the...

Keep reading
Press

How Consumer Brands Can Move Fast to Address Change, Become More Efficient

Alloy.ai CEO Joel Beal write in SupplyChainBrain about how brands can take control of their sales and supply chains in such an unpredictable climate.

Visit site