Robots, AI and Agents Prove Vital for Supply Chains This Year

Intelligent simulation, which combines AI, machine learning, and advanced analytics within simulation models, was identified by Gartner as a key trend. Credit: Getty

Global research firm Gartner has named agentic AI, polyfunctional robots, and intelligent simulation among the top supply chain technology trends for 2026.

Research firm Gartner has released its list of top supply chain technology trends for 2026, with a focus on AI technologies and their impact on supply chain operations.

According to Gartner, advances in AI are enabling supply chain and procurement professionals to drive business value, strengthen resilience, and rethink operating models. These technologies span both physical and agentic AI applications.

The firm highlighted eight major trends shaping supply chain technology in 2026, covering governance, intelligent systems, and multiagent systems.

The research firm notes that these themes and trends indicate a shift toward intelligent, self-directed, and accountable systems operating across digital and physical environments.

Intelligent AI systems emerge

Christian Titze, VP Analyst and Chief of Research in Gartner's Supply Chain practice, says: "This year's trends highlight the growing role of AI as the foundation for more autonomous, intelligent and adaptive supply chains."

"This year's trends highlight the growing role of AI as the foundation for more autonomous, intelligent and adaptive supply chains," says Christian Titze. Credit: Getty

"As organizations move toward hyperconnected, AI-driven environments, leaders must focus not only on deploying advanced technologies, but also on ensuring they work together to deliver measurable value and long-term resilience."

Autonomy and agency applications

Gartner highlighted polyfunctional robots as a key trend. These machines can perform multiple tasks within a single system, offering a new workforce model, particularly in environments facing labor shortages.

Physical AI, which combines AI models with IoT sensors, robotics, and automation systems, was a top trend. According to the research firm, physical AI enables real-time sensing, analysis, and execution across supply chain environments.

Gartner identified agentic AI as a top technology trend in supply chain. The technology can plan, act, and adapt to achieve goals in complex environments.

The research firm identified agentic AI as a top technology trend in supply chain, which is now capable of planning, acting, and adapting to achieve goals in complex environments. Credit: Gartner

Collaborative multiagent systems enable multiple AI agents to work together across workflows and environments. Gartner says organizations can automate complex, multistep processes and improve scalability and adaptability by using them.

According to The Boston Consulting Group (BCG), AI adoption is growing in supply chain management. A BCG survey found that 44% of companies are deploying AI in supply chain management.

Christian says: "These trends represent more than incremental improvements. They are catalysts for transforming supply chains."

Key facts

• A BCG survey found that 44% of companies are deploying AI in supply chain management
• Gartner estimates 50% of cross-functional supply chain management solutions will use intelligent agents to autonomously execute decisions by 2030
• Gartner identified collaborative multiagent systems, which enable multiple AI agents to work together, in its supply chain technology trends for 2026

"Organizations that proactively evaluate and integrate these technologies in line with their business objectives will be better positioned to navigate disruption, scale innovation and maintain competitive advantage," he adds.

Gartner has previously predicted that by 2030, 50% of cross-functional supply chain management solutions will use intelligent agents to autonomously execute decisions in the ecosystem.

Governance frameworks develop

Gartner identified intelligent simulation as a top trend.

This integrates AI, machine learning, and advanced analytics into simulation models, enabling more dynamic planning across logistics, transportation, and warehouse operations.

“These trends represent more than incremental improvements. They are catalysts for transforming supply chains. ”Christian TitzeVP Analyst and Chief of Research in Gartner’s Supply Chain practice

Another key trend is decision governance. As AI adoption scales, organizations are implementing frameworks and guardrails to govern AI-enabled decision making, ensuring transparency, accountability, and compliance.

The other key themes were domain-specific language models – which can be fine-tuned for supply chain use – and product provenance.

Product provenance enables organizations to trace and verify the origin and journey of products across the supply chain, improving visibility for compliance and quality control purposes.