Interview: Infios on AI in the supply chain

THE COLLABORATION between Infios and Amazon Web Services is said to lay the foundation for agentic intelligence to ‘set a new standard for end-to-end supply chain execution’.

It is focused on integrating generative-AI agents into Infios Order Management (Infios OM) with the solution set to be available from early 2026. The job of Infios OM is to serve as the brain of the supply chain.

Logistics Matters: What will this cost for customers? What does Infios OM typically cost and what will this AI tool add to it?

Richard Stewart: The agentic AI capabilities will be offered as modular enhancements, so customers can start with a single workflow and expand as they see impact. Because these AI agents run natively on AWS, they are designed so value shows up fast and investment grows in step with outcomes. Our goal is to make supply chain intelligence accessible and measurable. As with all our solutions, pricing is capabilities-based and tailored to each customer’s environment based on scale and complexity.  

LM: How do you envisage customers obtaining ROI by deploying the solution? 

RS: Running on AWS means the infrastructure performance and scalability are already proven, so customers will see faster time-to-value using our Infios agents. Customers using the Infios Order Management (OM) agent will see value in these areas: workflow automation replaces manual orchestration; exception rates drop as agents learn and adapt; and decision cycles collapse from hours to minutes. 

This translates directly into lower operating costs and improved customer experience. These outcomes compound over time as AI agents continuously learn and optimise workflows. 

LM: Are you getting buy-in from logistics managers for this kind of product? Do they fear these tools will replace them and they will lose their jobs? How do you win ‘hearts and minds’ along with delivering efficiency and productivity improvements? 

RS: Our intelligent supply chain execution workflows are designed to augment, not replace, the human role. What we hear from customers is that logistics leaders want to spend less time on repetitive tasks so they can focus on managing exceptions, delivering on customer promises and improving performance. Our AI agents allow teams to shift from reactive operations to AI-enabled orchestration. With purposeful AI, our focus is on building trust through transparency, explainability and clear evidence of how AI amplifies expertise rather than automates it away.  

LM: What level of progress is needed on data hygiene for end users to get the most out of agentic AI tools? 

RS: Perfect data doesn’t exist in supply chain and waiting for it is how companies fall behind. Our AI agents are designed to work with real-world variability. Agents draw from existing Order Management data and then validate data, flag anomalies, and improve quality as part of live execution. Customers don’t have the time to pause their business for a data clean-up, so we help them improve data consistency as part of the deployment process.

For more information, visit www.infios.com