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


Customer Stories

Alloy.ai Drives 35% YoY Forecast Accuracy Improvement at Ember

Alloy.ai’s software also helps Ember drive inventory efficiency, scale its access to retail point-of-sale data, and align internal functions around a single source of truth...

View
Article

Exploring the Evolution of the Consumer Goods Industry with SAP’s John Buckley

John Buckley from SAP explores how COVID-19 reshaped the consumer goods landscape, the impact e-commerce had on brands and retailers, how brands can stay closer...

Keep reading
Article

Announcing new predictive and AI features in Alloy.ai

New AI features in Alloy.ai let companies predict out-of-stocks and warehouse product shortages, accurately forecast consumer demand, and discover sales and supply chain insights in...

Keep reading