Many companies have made efforts to implement Artificial Intelligence (AI) forecasting techniques in recent years. But most companies have not been able to translate these initiatives into improvement in KPIs like forecast accuracy, inventory turns or cash flow. It is not because that forecasting with AI cannot achieve higher accuracy than traditional cause-and-effect models, but because that Demand Planners do not have adequate understanding of how and where it adds value. In this article I propose 4 approaches that allow us to fully leverage the power ...

From Issue: The Digital & Artificial Intelligence (R)evolution for Your IBP
(Summer 2022)

4 Practical Ways To Drive Business Value With AI Forecasting