Infios and AWS partner to transform supply chain with AI agents
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As global supply chains grow more complex and consumer expectations tighten, legacy logistics systems are reaching their limits. In response, Infios has announced a strategic collaboration with Amazon Web Services to integrate agentic AI into supply chain execution systems. The initiative promises a significant shift in how companies approach order management and fulfillment, moving from rigid, rule-based tools to intelligent, adaptive systems capable of anticipating and resolving problems in real time.
Infios, a provider of modular supply chain solutions, sees agentic AI as the future of logistics technology. “We saw customers struggling with visibility gaps, repetitive configuration, and long delays during demand spikes,” said Eugene Amigud, chief innovation officer at Infios. “Our goal was to work with a partner that could help us bring enterprise-grade AI to market, fast and securely.” The AWS Generative AI Innovation Center provided the infrastructure, expertise and strategic guidance Infios needed to deliver on that ambition.
The gaps in traditional order management
At the heart of this partnership lies a clear opportunity. Many supply chain operators still rely on static rules and manual updates to manage complex fulfillment environments. These systems often lack the flexibility to respond in real time to exceptions like inventory shortages, transit delays, or sudden changes in demand.
Infios identified these operational bottlenecks early. “Manual workflows are hard to scale and slow to adapt,” Amigud noted. “What’s needed is a responsive, intelligent system that can reason through options and recommend actions before humans are even aware of the issue.”
The problem is particularly acute for companies experiencing growth or seasonal volatility. In these environments, even small inefficiencies can cascade into major cost and service impacts. Fragmented systems delay issue resolution, require high IT involvement to update workflows, and limit visibility across the order lifecycle.
Agentic AI offers a compelling answer. Infios believes the ability of software agents to learn from past events, respond to new conditions, and act autonomously is essential to building resilient supply chains.
What AI agents actually do on the ground
The term “agentic AI” is often misunderstood. These are not generic chatbots or basic automation scripts. In the Infios–AWS model, AI agents serve as semi-autonomous decision-makers embedded within the supply chain stack. They constantly monitor for exceptions, detect patterns, and initiate responses within defined parameters.
Take, for example, an order flagged for delay due to an unexpected carrier backlog. Instead of waiting for a customer complaint or a manual review, the AI agent identifies the risk, investigates its cause, perhaps a regional warehouse disruption, and recommends alternative routing. The operator is notified, reviews the solution, and approves it with a single click.
This workflow combines speed with oversight. “We don’t want to remove the human from the loop entirely,” Amigud said. “What we’re doing is removing repetitive effort and giving operators superpowers.”
Infios says these capabilities will be available through natural-language configuration. Instead of scripting new rules, a warehouse lead could simply state, “Hold orders with backordered items for 24 hours and reroute if stock isn’t replenished.” The agentic AI interprets the command, builds the workflow, and operationalizes it within minutes.
Leveling the playing field for smaller businesses
While enterprise players may already be exploring advanced AI integrations, Infios and AWS aim to democratize access to AI-driven workflows. Their solution is designed around a modular, API-first architecture that allows companies to adopt new capabilities without replacing core systems.
“Smaller businesses shouldn’t be locked out of innovation because they don’t have the same IT budgets,” said Amigud. “With our design, a regional distributor can roll out intelligent fulfillment logic just like a multinational can.” This lowers the barrier to entry for real-time visibility, smart orchestration, and proactive exception management—capabilities that once required multimillion-dollar investments.
This incremental approach also appeals to risk-conscious supply chain leaders. Instead of a wholesale transformation, businesses can test AI agents on specific use cases, then scale adoption as performance improves.
From automation to autonomous logistics
The Infios–AWS collaboration is part of a broader evolution in supply chain automation. Where previous tools required static logic and human instruction, agentic AI pushes the boundaries by combining data ingestion, autonomous reasoning, and continuous learning.
Over the next two to five years, Infios expects agentic AI to orchestrate not just order fulfillment, but entire warehousing and transportation workflows. These agents will become more anticipatory, using data across systems to identify disruptions before they occur. As models mature, they may begin working across networks—communicating between suppliers, carriers, and enterprises to self-optimize supply chain performance at a global level.
The early results are promising. Infios says pilot customers are already seeing faster cycle times, fewer exceptions, and double-digit efficiency gains. And while the full rollout is slated for early 2026, customers can begin exploring the AI capabilities sooner thanks to the architecture’s plug-in compatibility.
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