Manufacturing Forecasting Needs More Than a Better Algorithm

Forecasting is a process, not a model contest

SKU Science argues that manufacturing demand planning must account for long lead times, derived demand, seasonality, heterogeneous portfolios and cross-functional consensus.

Practical implication

Teams should combine segmented models with Forecast Value Added, bias tracking and ownership of exceptions rather than optimizing a single accuracy score.