Nirmal Jingar
Technology & AI Leader
Boston, Massachusetts, United States
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Nirmal Jingar is a senior technology leader specializing in large-scale supply chain systems, decision automation, and enterprise AI. He has spent his career designing and operating platforms that power critical commerce workflows across inventory management, logistics, returns, and customer promises in high-volume, real-world environments.
His work focuses on moving beyond traditional analytics and forecasting toward autonomous decision systems that operate with clear governance, accountability, and measurable business impact. Nirmal has led cross-functional efforts spanning engineering, data science, and operations to deploy AI-driven systems that balance automation with human oversight at scale.
Nirmal regularly contributes to discussions on enterprise AI strategy, system design, and the future of operational decision-making.
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Topics
AI-Driven Autonomous Supply Chains: Replacing Human Planning Without Losing Control
For years, supply chains have relied on forecasts, dashboards, and human planners to make daily decisions across inventory, routing, sourcing, and returns. As systems grow more complex and conditions change faster, this approach no longer scales.
This session looks at how enterprises are moving beyond decision support tools toward autonomous systems that can plan and execute supply chain actions in real time while remaining controlled and accountable. Based on real production experience, the talk explores how modern decision systems combine optimization, simulation, and language models to reduce manual planning and handle operational exceptions more effectively.
The focus is not on prediction accuracy, but on how decisions are made, governed, and reviewed. The session explains how boundaries, policies, and audit mechanisms allow organizations to trust autonomous decisions without losing visibility or oversight.
Attendees will leave with a clear understanding of what it takes to introduce autonomy into core supply chain workflows and where human judgment remains essential as these systems mature.
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