Supply Chain Management using Machine Learning

Overview

This SCM project leverages machine learning, particularly the RandomRegressor model, to optimize various aspects of the supply chain, including inventory management, logistics, supplier relationships, and demand forecasting. The project aims to enhance efficiency, reduce costs, and improve customer satisfaction by utilizing predictive analytics and data-driven decision-making.

Project Structure

|-- Supply_Chain_Management/
  |-- dataset.csv               
  |-- Supply_Chain_Management.ipynb     
|-- README.md                  

Credits

This project is created and maintained by Deepakvenugopal05. Feel free to contribute or provide feedback!

License

This project is licensed under the MIT License.