This whitepaper examines how AI-driven inventory optimization helps organizations improve service levels, reduce inventory costs, and build more resilient supply chains. Blue Yonder explains how advanced analytics, machine learning, and multi-echelon inventory optimization replace manual planning processes with intelligent, data-driven decision-making. The report highlights key capabilities including SKU micro-segmentation, tactical inventory target management, scenario planning, and continuous learning through PDCA cycles. By aligning inventory strategies with demand variability, logistics complexity, and business priorities, organizations can reduce stockouts, improve forecasting accuracy, and optimize working capital. The paper also includes real-world results from companies like Ingred

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