49 production-ready recipes for supply chain management — copy, paste, customize, deploy.
The definitive collection of Python patterns for supply chain professionals by Quantisage
This is the OpenAI Cookbook for Supply Chain — a curated collection of practical, production-tested Python recipes that solve real supply chain problems. No theory lectures, no toy examples — just code that works.
Every recipe follows the same pattern:
📋 Problem Statement → 💻 Working Code → 📊 Example Output → 🏭 Production Tips
| Category | Recipes | Description |
|---|---|---|
| Demand Forecasting | 7 recipes | Demand Forecasting patterns and implementations |
| Inventory Optimization | 6 recipes | Inventory Optimization patterns and implementations |
| Logistics Routing | 6 recipes | Logistics Routing patterns and implementations |
| Procurement Sourcing | 6 recipes | Procurement Sourcing patterns and implementations |
| Warehouse Operations | 6 recipes | Warehouse Operations patterns and implementations |
| Sustainability Carbon | 6 recipes | Sustainability Carbon patterns and implementations |
| Analytics Dashboards | 6 recipes | Analytics Dashboards patterns and implementations |
| Ai Ml Applications | 6 recipes | Ai Ml Applications patterns and implementations |
- Find your problem — Browse categories or search by keyword
- Open the notebook — Each recipe is a self-contained Jupyter notebook
- Run the code — Every recipe works out of the box with sample data
- Customize — Adapt parameters, data sources, and constraints to your needs
- Deploy — Follow the production tips to operationalize
git clone https://github.com/virbahu/supply-chain-python-cookbook.git
cd supply-chain-python-cookbook
pip install -r requirements.txt
jupyter notebookVirbahu Jain — Founder & CEO, Quantisage
Building the AI Operating System for Scope 3 emissions management and supply chain decarbonization.
| 🎓 Education | MBA, Kellogg School of Management, Northwestern University |
| 🏭 Experience | 20+ years across manufacturing, life sciences, energy & public sector |
| 🌍 Scope | Supply chain operations on five continents |
If you find this useful, please ⭐ star this repo — it helps others discover it!
MIT License — see LICENSE for details.
Part of the Quantisage Open Source Initiative | AI × Supply Chain × Climate