The article explains ten core supply‑chain formulas—from inventory turnover and safety stock to cash conversion cycle—showing how mis‑calculations can lock cash, cause stockouts, and damage customer satisfaction, and why continuous, system‑driven monitoring is crucial for modern operations.
This article explains how AI‑driven forecasting, joint error‑distribution safety‑stock calculations, and MLOps‑backed simulation are combined to optimize DTC replenishment, improve inventory days and stock‑out rates, and address practical deployment challenges in fast‑growing e‑commerce supply chains.
This article explains the need for intelligent replenishment in Alibaba's Retail platform, introduces inventory theory and safety‑stock models, derives mathematical formulations including a linear and integer programming model, discusses practical constraints such as vendor lead time and minimum order quantities, and outlines future forecasting work.
