Srinivasan Narayanan

Solution Delivery Lead Analyst – Oracle Cloud Mfg, Maint, Costing & SCP

Bio

Srinivasan Narayanan is a seasoned Supply Chain and Manufacturing IT Leader with over 24 years of global experience driving enterprise transformation across the U.S., Europe, Japan, and Asia. He specializes in Supply Chain Management, Material Planning, Manufacturing, Costing, and Maintenance, with deep expertise in Oracle Cloud Applications and digital innovation.

He currently serves as the Oracle Solution Delivery Lead at Milwaukee Tool, where he leads large-scale Oracle Fusion Cloud implementations that power manufacturing, maintenance, and supply chain excellence. His work focuses on leveraging IIoT, AI, and Cloud ERP to optimize operational efficiency, asset reliability, and business agility in global manufacturing ecosystems.

Srinivasan is an IEEE Senior Member, a member of the IEEE Computer Society, and a Professional Member of the Institute of Science & Technology (UK). He has been invited to speak at several industry and technology conferences, including:

Oracle AI World 2025 — “Enterprise Asset Maintenance Reimagined: The Oracle Cloud Advantage”

Oracle Cloud Summit 2025 — “Redwood UX–Driven Efficiency Improvements in Oracle Cloud Maintenance”

As a researcher and practitioner, Srinivasan has authored multiple peer-reviewed papers and conference presentations on topics spanning AI in Predictive Maintenance, ERP Automation, and Supply Chain Optimization, including:

Automating Supply Chain Processes Using Oracle Orchestrator and EDI Integration (IEEE Conference)

Enhancing Order Scheduling Efficiency with Packaging Lead Time in Oracle E-Business Suite

Transforming Preventive Maintenance Operations Through Oracle Cloud Maintenance Automation

Machine Learning for Enhancing Customer Experience in E-Commerce Platforms (IEEE Conference)

Through his work, Srinivasan bridges the gap between technology and operations demonstrating how IIoT and AI-enabled ERP ecosystems can transform manufacturing efficiency, predictive intelligence, and decision-making in Industry 4.0 environments.