12 Lessons — Build autonomous AI agents that plan, procure, ship, and optimize your supply chain.
The supply chain industry is undergoing its most significant transformation since the invention of ERP. AI agents — autonomous systems that can sense, reason, and act — are replacing manual planning processes that haven't fundamentally changed in 30 years.
This course teaches you to build these agents from scratch:
flowchart LR
subgraph Traditional
A[📊 Data] --> B[👤 Human Analyst]
B --> C[📋 Decision]
C --> D[⏰ Hours/Days Later]
end
subgraph Agentic
E[📊 Data] --> F[🤖 AI Agent]
F --> G[📋 Decision + Action]
G --> H[⚡ Seconds/Minutes]
end
style Traditional fill:#ffcdd2
style Agentic fill:#c8e6c9
flowchart TB
subgraph Agent Core
S[👁️ Sense\nData Ingestion] --> R[🧠 Reason\nLLM + Rules]
R --> A[🎯 Act\nExecute Decision]
A --> L[📝 Learn\nFeedback Loop]
L --> S
end
subgraph Tools
T1[📊 ERP/WMS API]
T2[🌐 Web Search]
T3[📧 Email/Slack]
T4[🔢 Optimization Engine]
end
subgraph Memory
M1[💾 Short-term\nConversation]
M2[🗄️ Long-term\nKnowledge Base]
end
R --> T1 & T2 & T3 & T4
R --> M1 & M2
style S fill:#e3f2fd
style R fill:#fff9c4
style A fill:#c8e6c9
git clone https://github.com/virbahu/sc-ai-agents-for-beginners.git
cd sc-ai-agents-for-beginners
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