Supply chains remain central to how companies manage operations, control costs, and meet customer demand, with decisions across planning, sourcing, manufacturing, logistics, and service directly affecting efficiency and resilience.
As businesses face shifting demand patterns, increasingly complex global supply networks, and growing pressure to manage costs and working capital, many are seeking faster ways to turn operational insights into action.
At SAP Connect in October, SAP introduced SAP Supply Chain Orchestration, aimed at helping companies detect disruptions, coordinate responses, and improve execution across supply networks.
This week at SAP Sapphire, the company announced new AI-powered assistants and agents designed to move supply chain operations toward a more autonomous model. The tools are intended to help planning, manufacturing, logistics, and asset operations anticipate issues, coordinate responses, and resolve disruptions with less manual intervention.
SAP said the new system is built on operational data and existing enterprise applications, with human oversight remaining part of decision-making processes. The company described Autonomous Supply Chain Management as part of its broader Autonomous Enterprise strategy.
The rollout includes several new Joule Assistants embedded across supply chain functions, including asset management, business networks, logistics, manufacturing, planning, and product design.
In addition, SAP announced more than 60 AI agents designed to monitor operations, assess disruptions, and support guided decision-making within predefined business controls. These tools are expected to help improve production efficiency, asset performance, and service responsiveness.
The new capabilities will also extend into SAP Cloud ERP systems and will be introduced in phases throughout 2026.
SAP said the updates aim to reduce delays caused by manual processes and fragmented workflows while improving coordination across supply chain operations.
The company added that supply chain automation is expected to expand gradually as businesses adopt AI tools to improve efficiency, planning, and operational resilience.
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