A collection of reference Jupyter notebooks and demo AI/ML applications for enterprise use cases: marketing, pricing, supply chain, smart manufacturing, and more.

- A repository for applying ML to optimize supply chain management, covering demand forecasting, inventory, logistics, and supplier selection. Includes Jupyter notebooks, Python scripts, and datasets for real-world applications.

Scripts and Notebooks used for the tutorial

Notebooks about Supply Chain Analitics

📊 Building ML projects using Python, Scikit-learn & more.

Previsão de vendas de supermercado com Machine Learning para logística e supply chain