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An interview with Chia-Lun Wu, Engineering
Chia-Lun Wu is a software engineer in Alloy’s Berlin office. Before Alloy, he worked as a software engineer at Forto in Berlin and Vyond in...
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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
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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