During the Opening Keynote at Gartner Supply Chain Symposium/Xpo in Barcelona, attendees learned how autonomous business capabilities are beginning to reshape supply chain strategy and execution, and the distinct implications for supply chains.
Autonomous business is defined by Gartner as a strategy that uses self-improving, adaptable technology to make decisions, take action and create new types of value by increasing both people autonomy and machine autonomy. In supply chains, this represents a significant change because digital intelligence must be coordinated with physical execution across complex networks of factories, warehouses and transportation assets.
“As autonomous business becomes the dominant model for how organizations run, CSCOs must rethink not just how work gets done, but who is making the decisions. They must decide if it’s people, machines or both,” said Alan O’Keeffe, VP Analyst in Gartner’s Supply Chain practice. “This is a shift from optimizing tasks to orchestrating outcomes, with clear guardrails that balance machine autonomy with human leadership.”
Supply Chains Are Entering the Autonomous Business Era
Autonomy in supply chain is fundamentally different from other business functions, due to the complexity of moving physical goods where constraints are real, execution is variable, and disruptions can ripple quickly across the system. This complexity is what makes the shift significant.
To prepare, Gartner emphasized three readiness priorities for CSCOs:
- Move operations from task automation focused on optimizing for speed to outcome-based decision flows.
- Strengthen intelligence with governance, guardrails and context that allow autonomy to scale safely.
- Evolve the workforce so teams can oversee, improve and collaborate with AI-enabled systems across the network.
More information on building an autonomous supply chain can be found here: The AI-Native Supply Chain.






