Objective: To illustrate how companies optimize service levels in logistics to achieve operational efficiency, cost control, and enhanced customer satisfaction, using real-world examples. Introduction: Target optimization of service levels in logistics focuses on balancing cost-efficiency with service quality. This involves aligning inventory management, transportation, and warehousing processes with customer expectations to deliver value while minimizing expenses. Background: Global supply chains face challenges such as fluctuating demand, rising transportation costs, and increased customer expectations. Optimizing service levels ensures timely delivery of goods, reduces operational bottlenecks, and fosters competitive advantage. Case Study 1: Amazon’s Predictive Analytics for Delivery Performance Challenge: Amazon, a global leader in e-commerce, needed to ensure fast delivery (often same-day or next-day) while managing costs across its vast logistics network. Solut...