Supply chain segmentation Analytics with Python

Learn to implement ABC and XYZ segmentation in python with real life data with more than 3,000 skus.

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Supply chain segmentation Analytics with Python

What You Will Learn!

Learn ABC and XYZ Segmentation for Supply Chain Optimization
Implement ABC and XYZ Segmentation Analysis in Python
Learn to visualize the segmentation results in python
Build reusable python functions to implement the segmentation analysis for multiple stores

Description

Supply chain problems are complex due to large number of SKU's, Customers and Suppliers, as a first step in any supply chain analytics project we need to reduce the complexity of the problem. Supply chain segmentation is a fundamental first step that enables us to reduce the supply chain complexity. Once we perform the supply chain segmentation, we can easily start choosing the proper demand forecasting model, can optimize the inventory, or can implement any kind of strategy based on the segments.

In this course we learn the most commonly used ABC and XYZ segmentation analysis, as well as we combine the both. The key advantage of learning this course is at the end of the lesson you will have a complete code to perform ABC, XYZ analysis on real life use cases with multiple stores and more than 3000 skus.

In addition to building the segmentation algorithms we will implement interactive visualizations in python, so you can present and explain your analysis in a user friendly manner to your manager or to your client.

This course will serve as a first building block for your supply chain analytics project. If you are a supply chain professional, after learning in this course you can use your company data to implement the ABC, XYZ segmentation analysis to derive insights for your organization. If you are a supply chain student you can use this knowledge to understand much deeper topics as well as can build your portfolio of supply chain analytics projects.