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