Why AI is Now a C-Suite Priority in Manufacturing Procurement and Supply Chain

Boards are watching. Investors are asking. And the mandate is clear: apply AI not just for automation, but to deliver measurable impact, resilient operations, and future-ready teams. The manufacturing industry is at a turning point. AI is moving from hype to reality, and the C-suite is under mounting pressure to deliver clear, ROI-driven strategies—especially in the high-stakes world of procurement and supply chain.

So how do executives turn AI from a buzzword into a competitive advantage?

In our latest on-demand webinar, AI on the Board Agenda: Redefining Procurement & Supply Chain for Manufacturing’s Next Chapter, experts from JAGGAER and BearingPoint explore what it really means to integrate AI across the manufacturing enterprise—with insights from industry experts who have led successful transformations.

The Urgent Need for AI in Manufacturing

Manufacturers are navigating a complex landscape: volatile supply chains, rising costs, talent shortages, and increasing ESG expectations. AI is uniquely positioned to help—but only if it’s applied with a strategic, enterprise-wide lens.

Top-performing manufacturers are using AI to:

• Predict supplier risk and avoid disruptions
• Automate sourcing events and contract workflows
• Improve demand planning accuracy with real-time data
• Reduce operational costs while accelerating delivery
• Build intelligent, agile supply chains that adapt on the fly

Beyond Automation: Redefining the Procurement Function

AI isn’t here to replace your procurement team—it’s here to elevate them.

From generative AI that supports strategic sourcing to autonomous agents that help engineers self-source during design, this webinar dives into real-world examples of AI that frees up procurement professionals to focus on what really matters: supplier innovation, risk mitigation, and value creation.

Key insights from the webinar:

• AI is reshaping the procurement workforce—reskilling is essential
• GenAI is powering faster, more informed decision-making
• Agentic AI is enabling new levels of collaboration between procurement and engineering
• Success depends on aligning AI tools to specific business goals

How to Build a Successful AI Roadmap for Manufacturing

Many executives ask: Where do I start with AI?

Our experts shared three essential steps:

1. Define Business Objectives, Not Just AI Projects
   Don’t start with tools—start with your most pressing challenges. Where can AI make the biggest impact?
2. Assess Readiness
   Do you have the data, talent, and governance in place to support responsible AI adoption?
3. Build a Culture of Responsible Innovation
   Data transparency, human oversight, and internal education are key to long-term AI success.

Future Trends Shaping AI in Manufacturing

What’s next? According to our panel, here’s what to watch:

• Digital twins for real-time cost simulation and product optimization
• Hyperautomation to drive operational speed and agility
• Edge computing and IIoT for real-time analytics on the shop floor
• Sustainable AI-powered supply chains driven by ESG mandates
• AR/VR and cobots enhancing human productivity
• Cybersecurity by design as systems grow more connected

AI is Not Optional—It’s Your Competitive Edge

AI in manufacturing isn’t a side project anymore. The use cases are real. The ROI is clear. And the organizations that move now will be the ones leading the next chapter of industrial innovation.

Take the lead—Not the Risk. This session will equip you with actionable insights to accelerate your AI strategy—and empower your teams to thrive alongside the technology.

Leverage this unique session with expert insights, live use cases, and future-ready strategies.