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Supply Chain Analytics: Forecast, Optimization & Performance

0 students
Updated May 2026

Course Description

|| Unofficial Course ||This course contains the use of Artificial Intelligence.In today’s fast-changing global business environment, supply chains have become more complex, interconnected, and data-driven than ever before. Organizations across industries rely on analytics to improve efficiency, reduce costs, enhance customer satisfaction, and make smarter strategic decisions. This course is designed to provide you with a complete and practical understanding of supply chain analytics, equipping you with the knowledge and analytical frameworks needed to transform supply chain data into actionable business intelligence.This comprehensive course takes you through the full spectrum of supply chain analytics, beginning with the foundational concepts that define modern analytical supply chain management. You will understand the critical role analytics plays in decision-making, explore the supply chain analytics maturity model, and learn how data architecture, governance standards, and quality management create the backbone for effective analysis.As you progress, you will dive deep into descriptive analytics and performance measurement techniques used by organizations to monitor and improve operational performance. You will learn how to map material and information flows, evaluate service reliability through key order fulfillment metrics, analyze financial performance using cash-to-cash cycle analysis, and benchmark supply chain performance against industry standards.The course then explores predictive analytics, where you will master demand forecasting concepts essential for accurate planning. You will study qualitative and quantitative forecasting methods, analyze trends, seasonality, and cyclical demand behavior, measure forecast accuracy using statistical techniques, and understand collaborative forecasting frameworks that align supply chain stakeholders for better decision-making.Inventory and warehouse analytics are covered extensively, helping you understand how to balance service levels with inventory carrying costs. You will learn safety stock calculations, lead time variability analysis, multi-echelon inventory optimization principles, and warehouse efficiency measurement techniques that support operational excellence.Transportation and network design analytics form another critical component of this course. You will gain insights into facility location decisions, strategic network design, total landed cost analysis, transportation mode selection, freight consolidation strategies, and routing optimization concepts that drive cost-effective logistics operations.Finally, the course introduces strategic optimization and risk analytics, enabling you to understand advanced analytical decision-making techniques such as linear programming, scenario modeling, supply chain risk identification, and sustainability measurement through carbon footprint analysis. These concepts will help you address real-world supply chain challenges with confidence and analytical precision.Whether you are a student, supply chain professional, operations manager, business analyst, or someone looking to build expertise in data-driven supply chain management, this course provides the practical knowledge and strategic insights needed to excel in today’s competitive business landscape.By the end of this course, you will have a strong command of supply chain analytics concepts and the ability to apply analytical thinking to forecasting, inventory management, transportation planning, performance measurement, optimization, and strategic decision-making across complex supply chain environments.Thank you

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Course Details

  • Level All Levels
  • Lectures 2
  • Duration