Infios has introduced a series of new AI capabilities that put the execution intelligence of some of the world’s largest supply chains within reach of organsations of any size. These new solutions power a modular, adaptable execution system where each component works independently, with decisions and actions coordinated in real time.
Supply chains are under more pressure than ever, but the systems running them weren’t built for it. As disruption accelerates, information flows, but action doesn’t, forcing 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, CEO of Infios. “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.”
Integrating AI agents into real operational workflows
AI agents 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.
- 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 labor coaching based on associate performance and company SOPs.
- 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, Optimisation Agents evaluate inventory, capacity, and routing across systems, then automatically reassign, reprioritise, and re-tender in minutes without manual intervention.
Execution without interruption
Customers are achieving tangible results with AI, including:
- Order release times reduced from hours to minutes at a global apparel firm
- Backorders reduced by 70 percent in production environments for a US online retailer
- Automated order entry achieving 83% autonomy rate for a leading logistics service provider
- Disruption detection and recovery measured in minutes instead of days across all customers
“What makes Infios AI agents different is that they operate inside real workflows where decisions and actions happen every minute,” said Eugene Amigud, Chief Innovation Officer of Infios. “By embedding AI directly into execution, 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.”
A practical path to real-time execution
Autonomy is not deployed on day one, it is earned. Infios AI operates within customer-defined guardrails and advances through graduated autonomy, moving from recommendation to execution as trust is established.
- Stage 1: Assisted, where the agents recommend actions with clear rationale.
- Stage 2: Automated, with Infios AI executing within defined policies.
- Stage 3: Autonomous, where operational decisions are executed end-to-end within defined guardrails.
Teams can start with a single high-impact workflow like delayed shipments or order changes and expand from there as the system proves itself. Execution becomes continuous. Decisions happen faster. Responses happen automatically.
