How AI Is Driving the Future of Industrial Operations and the Supply Chain
AI has moved from proof-of-concepts to the operating model. It's now the connective layer across planning, logistics, reliability, sourcing, and production. The result: fewer surprises, tighter coordination, and decisions that move as fast as your constraints.
This February, operators, engineers, and supply chain leaders will meet in Orlando to share what's working, what's hype, and what to deploy next.
Event Details
- Venue: Renaissance Orlando at SeaWorld, 6677 Sea Harbor Drive, Orlando, FL 32821
- Dates: February 9-12, 2026
- Event link: ARC Industry Leadership Forum * Orlando
More than 200 colleagues are already registered, including Conrad Hanf, with a strong mix of executives, operations leaders, and technologists.
Why AI Matters Right Now
AI gives operations teams three capabilities that change the day-to-day.
- Real-time awareness: AI filters high-volume signals from plants, yards, pipelines, fleets, and distribution nodes. It flags what matters and why, so teams act before issues spread.
- Cross-functional coordination: Production changes hit logistics. Maintenance hits throughput. Sourcing hits lead time. AI shares context across these functions and executes decisions without the lag of meetings and spreadsheets.
- Pattern recognition at scale: Early signals of asset wear, demand shifts, port delays, or supplier risk show up sooner. Teams get alerts and recommended actions with enough lead time to prevent loss.
What Leaders Are Focusing On
- AI-driven maintenance and reliability: Predictive models diagnose root causes, estimate failure impact, and schedule work when it fits production windows.
- Modern planning and scheduling: Forecasts pull in external signals, live plant constraints, and multi-site interactions. Planners move from static plans to continuous recommendations.
- Autonomous supply chain operations: Agents negotiate with carriers, re-route shipments, rebalance inventory, and adjust sourcing policies in live networks.
- Graph intelligence: Knowledge graphs map thousands of relationships across assets, suppliers, and lanes to show how one event cascades through the system.
- Data discipline: Performance depends on clean, harmonized data across ERP, MES, historians, WMS, TMS, and supplier platforms. Many teams are finally prioritizing this foundation.
- Human + AI collaboration: Operators, planners, and engineers keep the wheel. AI amplifies judgment and speeds execution instead of replacing people.
Why Attend the ARC Industry Leadership Forum
If you own uptime, flow, or service levels, this event is built to save you months of trial and error.
- Real-world case studies from global manufacturers, logistics leaders, and utilities
- Live demos of AI-enabled control towers and reliability platforms
- Deep dives on agent-based systems, context management, RAG assistants, and graph reasoning
- Roundtables with peers facing the same capacity and supply constraints
- Practical sessions on governance, cybersecurity, workforce roles, and measurable ROI (see the NIST AI Risk Management Framework for a solid baseline)
Come for clarity, leave with a realistic roadmap you can brief to your COO and implement with your team.
A Turning Point for Industrial Operations
AI is resetting how materials move, how assets perform, how demand is fulfilled, and how decisions get made. The teams that align data, governance, and workflows around AI will run with less friction and more predictability.
If you're building capability in-house, consider upskilling your team with focused programs for operations roles: AI courses by job.
Join Us in Orlando
If your role touches operations, supply chain, engineering, logistics, maintenance, or industrial strategy, this gathering is worth your calendar. Reserve your seat here: ARC Industry Leadership Forum * Orlando.
See the technology, challenge the vendors, and benchmark your roadmap with peers. We hope to see you there.
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