Most manufacturers will enter 2027 still operating without a truly predictive view of supply, demand, inventory, and execution risk.
The gap between what supply chain leaders know is coming and what their systems can actually help them anticipate is widening at a rapid pace. In recent research, 92% of leaders said AI-driven insights are essential to anticipating disruption, yet only 19% have digitized their manufacturing and supply chain operations.
Join Richard Lebovitz, Founder and Chief Strategy Officer at LeanDNA, for a practical look at the forces expected to shape manufacturing supply chains in 2027 and how leading organizations are using AI today to identify risk earlier, improve planning and optimization, and make faster, more confident decisions.
Richard will separate the AI use cases creating measurable supply chain value from the ones that are still largely hype. He’ll explore where AI can anticipate risk and optimize inventory, and where human judgment still matters most.
This session is designed for supply chain, operations, procurement, and manufacturing leaders deciding where to place their next AI investment and what capabilities their organizations will need to compete in 2027.
What you'll learn:
- The forces most likely to shape manufacturing supply chains in 2027, and which risks leaders can realistically anticipate and plan around.
- A practical framework for determining where AI belongs based on data volume, decision complexity, business impact, and the need for human judgment.
- What supply chain leaders should start putting in place now to build a more predictive, resilient, and responsive operation for 2027.
