Supply chain planning is entering a new era where the synergy between human expertise and advanced technology is reshaping what's possible. The webinar scheduled for July 14, 2026, featuring Gartner expert Noha Samara and Mustapha Ezzeddine, focuses on how organizations navigating increasing complexity and rapid change can effectively blend human insights with machine-driven capabilities.
According to Eva Dawkins, Director Analyst in Gartner's Supply Chain practice, autonomous planning has the potential to reshape how supply chain leaders approach decision-making by automating routine tasks and freeing up planners to focus on more complex and high-impact decisions. Gartner predicts that by 2030, 60% of enterprises using SCM software will have adopted agentic AI features, up from 5% in 2025. The emerging pattern is "human plus machine," where copilots embedded in planning workspaces and logistics processes handle repetitive analysis while people focus on scenario choice, exception management, and stakeholder communication.
MIT research found that fully automated supply chain systems fail 40% more frequently than human-supervised implementations due to their inability to handle unexpected scenarios and contextual nuances. Autonomous-ready operations require a change in leaders' mindsets from operating the supply chain as a sequence of automated, siloed tasks to a network of outcome-based decisions autonomously made or augmented by AI, informed by data and human judgment. The webinar will explore strategic considerations, practical approaches, and emerging best practices to help unlock greater value, enhance decision-making, and build more adaptive and resilient planning processes.
Noha Samara is a Senior Director in Gartner's Supply Chain Planning team, specializing in sales and operations planning (S&OP), demand planning, supplier collaboration, and supply and inventory planning. Planning today "is the core of decision-making in any organization." This year's conference theme is "Dynamic by Design: Renew, Rethink and Recode Supply Chains for the Autonomous Era," as AI and autonomous business accelerate, requiring CSCOs to enable faster, machine-driven decisions to drive growth, protect margins, and build resilience.
Note: This summary draws on SupplyChainBrain's publicly visible headline + subhead + opening paragraph and on sector background on human-machine collaboration in supply chain planning.
Key Takeaways:
1. Gartner hosts webinar on human-machine collaboration in supply chain planning on July 14, 2026
2. By 2030, 60% of enterprises using SCM software expected to adopt agentic AI features, up from 5% in 2025
3. MIT research shows fully automated systems fail 40% more often than human-supervised implementations
4. "Human plus machine" model enables AI to handle routine tasks while humans focus on strategic decisions
5. Autonomous planning requires evolution from task automation to outcome-based decision networks
