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Benchmark Ties Intermittent-Demand Forecasting to Order-Level Service Metrics
A new arXiv paper argues that forecasting models for spare-parts logistics are typically chosen by line-level accuracy, even though operators are paid on order-level service, where an order only counts if every requested line ships. The authors present a decision-aware benchmark aimed at closing that gap for intermittent demand. The work highlights how misaligned evaluation metrics can lead to poor operational choices.