Supply chain segmentation Analytics with Python

Supply chain analytics projects often face challenges due to the sheer volume of SKUs, customers, and suppliers. To effectively tackle these complexities, supply chain segmentation is a crucial initial step. This fundamental process simplifies your supply chain, enabling you to make informed decisions regarding demand forecasting, inventory optimization, and strategic planning.

In this course, you'll master the most widely used ABC analysis and XYZ analysis techniques, and learn how to combine them for a more comprehensive understanding of your supply chain. The real power comes from practical application – by the end, you'll have a complete, ready-to-use code solution for performing ABC and XYZ segmentation on real-world scenarios involving multiple stores and over 3000 SKUs.

Beyond algorithm development, we'll focus on creating interactive visualizations in Python. This allows you to present your analysis clearly and effectively to stakeholders – whether it's your manager or a client.

This course provides a solid foundation for any supply chain analytics project.

• For Supply Chain Professionals: Leverage your company data to implement ABC/XYZ segmentation and gain actionable insights for your organization, improving efficiency and profitability.
• For Supply Chain Students: Build a strong understanding of core concepts and enhance your portfolio with practical supply chain analytics projects.

Learn to unlock the potential of your data and drive smarter decisions with supply chain segmentation!