Machine learning is changing demand planning, but humans still matter

Nicolas Vandeput argues that machine learning should move planners away from repetitive forecast adjustment and toward data preparation, exceptional business intelligence and information that models cannot independently observe.

Human intervention should be concentrated where new information exists and measured through Forecast Value Add. Organizations need review thresholds, explicit override reasons, accountable owners and regular analysis of whether manual changes improve or worsen outcomes.