Infios AI now makes complex supply chain execution accessible to all businesses, putting the execution intelligence of the world’s largest supply chains within reach of organisations of any size. The company, a global leader in Intelligent Supply Chain Execution that rebranded from Körber Supply Chain Software in March 2025, has introduced a series of new AI capabilities designed to power a modular, adaptable execution system where each component works independently while decisions and actions are coordinated in real time.
Supply chains are under more pressure than ever, but the systems running them were not built for constant disruption. As disruption accelerates, information flows but action does not, leaving teams to bridge gaps and react after the damage is done. Infios embeds intelligence directly into supply chain execution, where predictive, generative, agentic and conversational AI work together to anticipate disruption, drive decisions and act in real time. The result is a continuous sense–decide–act–learn loop that powers Intelligent Supply Chain Execution across workflows, not silos.
“Disruption is constant, and it’s expensive. This isn’t a cycle. It’s the new baseline, and legacy systems just can’t keep up,” said Ed Auriemma, Chief Executive Officer of Infios. Auriemma, who previously served as Chief Operating Officer at Blue Yonder and joined Körber Supply Chain Software in July 2024, added: “Supply chains don’t need faster reactions. They need a system that takes action, moving from manual intervention to automated action to execute without interruption.”
AI agents that integrate into real operational workflows
The core of the announcement is a suite of AI agents that run inside Infios’s execution systems – not to replace them, but to orchestrate them, so a decision in one domain triggers coordinated action across all others. Infios’s Chief Innovation Officer Eugene Amigud, who has over 25 years of experience in technical solutions for retail and supply chains and joined the company in 2025, described the difference: “What makes Infios AI agents different is that they operate inside real workflows where decisions and actions happen every minute.”
These agents are built into the Infios Archer intelligence layer, which connects order, warehouse and transportation systems using an open, agentic architecture. Each agent type handles a specific domain:
Transportation Agents automate execution workflows including driver check calls via AI-powered voice agents that are triggered by defined conditions. This significantly reduces manual touch and manages exception workflows with full context.
Order and Document Agents capture, translate and validate unstructured documents such as orders and bills of lading, transforming them into structured data within live execution to eliminate manual entry. Shippers gain full inbound visibility, reducing dependency on vendors’ use of EDI or portals.
Warehouse Agents assist supervisors and operators by automating inventory research, issue resolution and real-time, tailored labour coaching based on associate performance and company standard operating procedures.
Optimisation Agents identify the best route for a load or the optimal fulfilment option, then dynamically adjust in real time as conditions change without manual intervention. When a carrier delay hits, picking falls behind, and order promises are at risk, these agents evaluate inventory, capacity and routing across systems, then automatically reassign, reprioritise and re-tender in minutes.
By embedding AI directly into execution, Amigud explained, “when something changes, orders update, warehouse work shifts, and shipments are rebooked in real time. That’s how AI moves beyond experimentation and starts driving real business outcomes.” Infios, which serves over 5,000 customers across 70 countries and employs more than 2,000 professionals worldwide, delivers its solutions largely as software-as-a-service. The company operates as a joint venture between Körber AG and KKR.
Measurable customer results
Customers using Infios AI are reporting tangible outcomes that illustrate the shift from manual intervention to automated action. A global apparel firm reduced order release times from hours to minutes. A US online retailer cut backorders by 70 percent in production environments. A leading logistics service provider achieved an 83 percent autonomy rate for automated order entry. Across all customers, disruption detection and recovery is now measured in minutes rather than days.
Infios does not deploy full autonomy on day one. Instead, the company uses a graduated approach that allows trust to be established progressively. The system moves through three stages: first, Assisted – where agents recommend actions with clear rationale; second, Automated – where Infios AI executes within defined policies; and third, Autonomous – where operational decisions are executed end-to-end within defined guardrails. Teams can start with a single high-impact workflow such as delayed shipments or order changes and expand from there as the system proves itself. Execution becomes continuous. Decisions happen faster. Responses happen automatically. This is execution without interruption.
