Inventory Analytics for Supply Chain Optimization

Inventory represents a massive portion of a company's assets, and managing it poorly can lead to wasted capital or lost sales. Understanding how to analyze inventory data is essential for anyone looking to optimize supply chain performance in today's fast-moving trade industries. This course transforms how you view stock by teaching you to apply analytical frameworks to real-world inventory challenges. You will move from basic tracking to strategic optimization, learning how to use data to ensure the right products are available at the right time while minimizing excessive waste and carrying costs. What you'll learn: - Understand foundational inventory metrics and key performance indicators used in modern trade. - Analyze stock levels to identify excessive inventory and reduce overhead costs. - Apply demand forecasting patterns to improve product availability and variety. - Practice data-driven decision-making to accelerate the cash conversion cycle. - Explore modern optimization models to balance supply and demand efficiently. - Identify inventory problems through comparative data analysis and performance benchmarking. - Utilize modern dataframe logic to process and interpret supply chain datasets. The course begins with core terminology and foundational supply chain concepts before moving into practical analytical methods. You will read through detailed explanations and apply your knowledge to realistic scenarios through written exercises and code-based examples. This course is designed for beginners in supply chain, retail management, or data analytics. No prior experience in inventory management is required. Start building your skills in inventory analytics today.