About this webinar
Manufacturing and supply chain operations are at an inflection point. AI is no longer a future concept — it is actively reshaping demand forecasting, inventory planning, production scheduling, and logistics optimization across industries.
In this 90-minute live session, senior supply chain and manufacturing leaders will explore where AI delivers measurable business value today, how leading enterprises are building autonomous operations, and what a practical AI adoption roadmap looks like on the ground.
The session is designed to be practical, case-study driven, and discussion-oriented — not a product demo.
Session agenda
The Next Evolution of Manufacturing Supply Chains
Why traditional supply chains are no longer sufficient · From digital transformation to autonomous operations · The rise of AI-native manufacturing
Where AI Creates Business Value Today
Demand forecasting · Inventory optimization · Production planning · Spare parts planning · Transportation & logistics · Warehouse intelligence
Building Autonomous Manufacturing Operations
AI Agents across planning and execution · Control Towers vs Autonomous Decision Systems · Human-in-the-loop vs AI-led operations · Moving from dashboards to decisions
Real Enterprise Use Cases
Automotive manufacturing · Production scheduling & capacity optimization · Supply chain orchestration · Measurable business outcomes and ROI
The Future of AI in Manufacturing
Agentic workforce and what comes next for AI-powered supply chains
Live Q&A
Open discussion with the speaker
Key takeaways
Who should attend
Meet your speaker
Ravi Bulusu
Founder & CEO, Enmovil Solutions · Ex-Director, NVIDIA
Ravi Bulusu is an AI and technology leader with deep expertise in supply chain intelligence and enterprise AI adoption. As CEO of Enmovil Solutions, he has spent nearly a decade building AI-driven platforms for inventory planning, demand forecasting, dispatch planning, and logistics optimization across manufacturing and distribution verticals. Prior to this, he served as Director of Engineering at NVIDIA for over 8 years, leading architecture teams across 4 geographies for next-generation automotive SoCs. He was also part of the core chip design team for Apple's early iPod generations.