Design a sophisticated demand forecasting and inventory optimization system that combines statistical methods, machine learning signals, and business intelligence to minimize stockouts while reducing carrying costs by 15-30%.
## CONTEXT Inventory represents 20-40% of total assets for most manufacturers and retailers, yet industry benchmarks show that average forecast accuracy sits at just 50-60% at the SKU-location level. This gap between prediction and reality drives an estimated $1.1 trillion in global overstocks and $634 billion in lost…
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