Build and Deploy Your First Supply Chain App in 20 Minutes

A supply chain application can be built and deployed by converting a Python simulation model into an interactive Streamlit web app. The tutorial focuses on an inventory management use case, demonstrating how to productize analytics tools originally developed in a Jupyter Notebook. The resulting application allows users to simulate various inventory rules and test scenarios with different parameters like delivery lead time and demand variability. This simulation helps visualize the impact of different policies on inventory levels and potential stock-outs. The core logic is built using Python, Pandas for data manipulation, and Pydantic for parameter definition.