OpenAI Interest Groups

AI in Higher Education

Caltech & Goldhirsh Foundation

Caltech CTME AI Educator & AI Executive in Residence @ Caltech & Goldhirsh Foundation

Wharton

Executive MBA Student @ Wharton

Stanford University

Director of Clinical Pathology Informatics @ Stanford University

OpenAI

Human Data / Forum Community Ambassador @ OpenAI

Kennesaw State University

Lead Academic Data Scientist @ Kennesaw State University

CUNY

Lecturer @ CUNY

Harvard Business School

Student @ Harvard Business School

Professor @ Harvard Business School

Education GTM @ OpenAI

NYU Stern School of Business

Chief AI Architect @ NYU Stern School of Business

Traditional ERP systems struggle with real-time decisions, scalability, and require heavy manual operations—especially in fast-moving environments like Tesla’s.
 That’s where we brought AI into the picture.


 Tesla-like enterprises deal with massive, dynamic datasets across departments (Inventory, Supply Chain, Sales, etc.). Manual ERP systems are slow, non-intelligent, and create bottlenecks in workflows and decision-making.

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 The system automates decision-making and streamlines operations by connecting real-time data with GPT-backed logic.

 GPT-4 agents reduce manual workload by over 40%, handling task routing, communication, and report generation. 

 LangChain-powered retrieval-based system (RAG) enables employees to ask natural language questions and get accurate answers based on internal databases.

Would love to hear feedback from the community! Open to questions, collaboration, or improvements.

Built an AI-Driven ERP System for Tesla Use Case – Powered by GPT-4o + LangChain

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