Supply Chain Planning Trends in AI andGenerative AI

Insights from IDC’s Eric Thompson on the trends, opportunities, and practical use cases shaping tomorrow’s supply chains.

The Supply Chain AI Imperative
In today’s fast-moving markets, the question isn’t if AI will shape supply chain planning — it’s where and how.
In this IDC Analyst Connection, Eric Thompson, Research Director for Global Supply Chain Planning, shares why:

  • Productivity gains top the list of perceived AI benefits for nearly 2,000 supply chain leaders surveyed by IDC.

  • Strategic urgency is growing as organizations seek to balance efficiency and resiliency.

  • Embedded AI in demand planning, S&OP, inventory optimization, and supply planning is moving from concept to reality.

Key Takeaways from IDC
📊 Trends Driving AI Adoption – Organizational readiness, leadership vision, specific use cases, and competitive pressures.
💡 Emerging Use Cases – Digital twins, scenario modeling, AI copilots, dynamic forecasting, and risk management.
🚀 Future Outlook – From reactive operations to proactive, opportunity-driven supply chains. 

How SAP IBP Delivers on This Vision
SAP Integrated Business Planning (SAP IBP) uses AI to:

  • Increase forecasting accuracy by analyzing historical data, market trends, and external factors.

  • Optimize inventory and supply planning with embedded predictive analytics.

  • Detect risks and opportunities early, providing context-aware recommendations.

  • Enable faster, smarter decisions with the Joule intelligent planning assistant.

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“This content is brought to you by SAP, a global leader in enterprise application software. Insights are based on IDC research and real-world supply chain planning trends to help organizations enhance forecasting accuracy, optimize inventory, and build risk-resilient, sustainable supply chains—powered by AI and Generative AI.”IDC Managed Detection will use the data provided hereunder in accordance with the Privacy Statement.