Taufik Nazir

From forecast accuracy to inventory performance: Assessing machine-learning models for intermittent export demand

Machine-learning forecasts are usually judged by accuracy, yet procurement decisions consume forecasts through an inventory policy whose lead times, review cycles, and lot sizes can overturn accuracy rankings. This paper quantified that value in replenishment decisions for an Indonesian cassia exporter's intermittent e...