The supply chain AI conversation is shifting. For years, the focus was on faster insights, better forecasts, and sharper visibility. That era delivered value, but it also revealed a gap: knowing what is happening is not the same as acting on it.
Accelerate outcomes with context-aware agents and assistants that know your work and your business
AI agents are now creating a new chapter. The next frontier is no longer analyzing faster, but letting agents act: working together across planning, procurement, manufacturing, logistics, and operations.
For more than 50 years, SAP has helped organizations run their supply chains by connecting business context, intelligence, and execution across end-to-end processes.
We are proud to share that SAP has been positioned in the Market Shapers quadrant of the inaugural Gartner® Emerging Market Quadrant for Integrated Supply Chain AI Agents – Established Vendors. This is Gartner’s first formal assessment of this emerging category. In our view, it reflects the progress we have made in bringing AI agents into the heart of supply chain operations, and the direction we continue to take.
Gartner describes the Market Shapers quadrant this way:
“Vendors in this quadrant are defined by advanced multiagent solutions available across supply chain functions for greater operational impact. Moving beyond assistive solutions or siloed automation, these agents are able to reason across functions and systems, sense and respond to shifts in data, and execute autonomously, sometimes interacting with other agents or systems inside the enterprise, to solve more complex goals. These solutions are further elevated by optimization techniques such as decision modeling, knowledge graphs, digital twins, and ontology layers to improve agent performance.”
From assistants to orchestrated agents
Supply chain decisions never happen in isolation. A supplier delay can ripple through production schedules, logistics, customer commitments, and financial results. Yet much of the AI in supply chains today still works within a single function or a single task. It can point out a problem, but people still must weigh the trade-offs and act across several systems.
With Autonomous Supply Chain Management, people define goals and priorities, AI assistants orchestrate activity across domains, and agents execute the work within governed, end-to-end processes. Through Joule, role-specific assistants coordinate specialized AI agents across design, planning, sourcing, manufacturing, delivery, and operations. Together, they sense disruptions, analyze the impact, simulate alternatives, and execute coordinated responses, with people making the decisions that matter most.
Joule is where it all comes together. People express what they want to achieve, and Joule Assistants take it from there. Each assistant is tailored to a specific role, while agents handle specialized tasks within business-defined guardrails.
For example, when a planner describes a goal, the Supply Chain Planning Assistant coordinates demand, inventory, and capacity agents to build and simulate scenarios, so the planner can focus on evaluating outcomes and making the decision. People direct. Assistants coordinate. Agents execute.
And because SAP supply chain agents work within the broader SAP Autonomous Suite, a supply chain decision can trigger the right financial, workforce, or customer action as part of the same coordinated response.
Agents that act where the work happens
We believe AI agents create real value only when they move from recommendation to execution safely. Greater autonomy must be accompanied by greater accountability. As agents take on more responsibility, organizations need visibility into what those agents are doing and why. That requires three things working together.
First, agents need to work inside the system of record. SAP agents operate directly in SAP Cloud ERP and the SAP supply chain management suite executing production orders, convert requisitions, or direct warehouse tasks, with no middleware between decision and action. They can also extend coordination to trading partners through SAP Business Network.
Second, agents need business context. SAP Business Data Cloud, SAP Knowledge Graph, and our supply chain semantic model give agents a shared understanding of business entities, relationships, and rules. That helps them understand what a signal means across domains and how a disruption will affect the business.
Third, agents need governance. Through SAP Business AI Platform, Joule Studio lets customers and partners build agents, and SAP AI Agent Hub governs both SAP and non-SAP agents with identity enforcement, audit trails, and explainability. Joule Work gives people one place to monitor and act on agent recommendations.
Delivering real results for customers
Customers will not value us by how many agents we build, but by the outcomes those agents deliver. Recognition is only meaningful when it reflects real impact for our customers, that are already putting supply chain agents to work with capabilities available today.
Takeda Pharmaceuticals will use Industry AI for regulated manufacturing, where agents monitor production KPIs, flag deviations, and initiate corrective workflows in GxP environments. The expected results include up to 10% productivity gain and 25% less stock-out revenue loss.
Lemvigh-Mueller deployed three coordinated agents to handle supplier order confirmations, reaching more than 90% touchless processing of 100,000 confirmations a year.
RWE is applying Autonomous Asset Management to its offshore wind fleet, where AI agents analyze past incidents, identify root causes, and generate pre-filled work orders for technicians.
Looking ahead
Supply chains don’t become autonomous overnight. The journey happens step by step: starting with agents that recommend, then agents that act within clear guardrails, and expanding autonomy as data, processes, and governance mature.
As we work with our customers and partners, our agent coverage will continue to expand every quarter across supply chain domains.
We are grateful to our customers, partners, analysts, and SAP teams whose collaboration shapes our products and strategy. We see this recognition as an important milestone, and we remain committed to helping organizations turn their supply chains into a source of resilience and lasting business value.
Devesh Mishra, General Manager and Chief Product Officer for SAP Supply Chain Management
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*Gartner, Emerging Market Quadrant for Integrated Supply Chain AI Agents — Established Vendors, Tess Frenzel, Carlton Sapp, October 28, 2026.
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