Gartner Survey: AI Is Not Driving Supply Chain Operating Model Transformation

Gartner Survey: AI Is Not Driving Supply Chain Operating Model Transformation

Modern Materials Handling
Modern Materials HandlingMay 7, 2026

Why It Matters

The findings highlight that most supply chains are still on the periphery of AI adoption, meaning the industry’s promised efficiency gains and risk mitigation remain largely untapped. Companies that overcome data and talent barriers can secure a decisive competitive edge as AI orchestration matures.

Key Takeaways

  • Only 17% of firms aim immediate AI-driven redesign.
  • 83% adopt AI incrementally, focusing on specific use cases.
  • Data quality gaps and master data misalignment hinder orchestration.
  • Fragmented vendor ecosystem forces multi‑tool integration.
  • Upskilling staff remains critical for AI‑augmented decision making.

Pulse Analysis

The Gartner Supply Chain Symposium in Orlando underscored a paradox: heightened demand for AI‑enabled orchestration amid persistent operational constraints. While executives recognize AI’s potential to deliver continuous network monitoring and scenario simulation, the survey shows that most organizations are still testing isolated pilots rather than overhauling end‑to‑end processes. This cautious rollout reflects a realistic appraisal of current capabilities, especially as geopolitical shocks amplify the need for resilient, real‑time decision support.

Data readiness emerged as the most formidable hurdle. Many firms struggle with master‑data alignment, inconsistent partner information, and fragmented data models that impede the seamless flow required for AI orchestration. Coupled with a vendor landscape lacking a unified platform, companies often cobble together disparate planning, visibility, and analytics tools, increasing integration complexity and cost. Moreover, human expertise remains indispensable; AI augments rather than replaces judgment, demanding sustained upskilling programs to bridge the talent gap and embed new decision‑making workflows.

Looking ahead, the strategic imperative is clear: invest now in foundational data governance, standardize processes, and cultivate AI fluency across the workforce. Organizations that proactively address these prerequisites will unlock the transformative ROI Gartner predicts, positioning themselves to leverage agentic automation and end‑to‑end visibility when market volatility resurfaces. Early adopters that move beyond incremental use cases toward integrated orchestration can achieve faster disruption response, lower inventory costs, and stronger supplier collaboration, establishing a durable competitive advantage.

Gartner survey: AI is not driving supply chain operating model transformation

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