Infios, a provider of intelligent supply chain solutions, has announced a strategic partnership with Amazon Web Services (AWS). The aim of the collaboration is to integrate generative AI agents into the existing “Infios Order Management System” (Infios OM). The cloud-based solution is intended to automate processes in order fulfillment, increase responsiveness to market changes, and minimize errors in supply chain execution. The technical foundation for this includes, among others, “Amazon Bedrock” and “Strands Agents”, central building blocks of AWS's generative AI infrastructure.
Infios OM coordinates order intake, manages warehouse processes, and oversees transport resources
The Infios OM serves as the central control system for the entire supply chain. It coordinates order intake, manages warehouse processes, allocates transport resources, and ensures that customer requirements are met efficiently. In the new expansion stage with embedded AI, the system should be capable of proactively detecting anomalies, such as delivery delays or disruptions in the network.
The intelligent agents respond to this automatically, initiate countermeasures, and balance order flows across various warehouse and shipping locations. This shortens lead times and improves the predictability of fulfillment processes.
AI analyzes large volumes of data and supports decision-making
For logistics managers, this means a clear relief in day-to-day operations. The new functions enable simplified workflow configuration and generate visual process representations that can be used by professionals for fine-tuning. The AI-assisted analysis of large data volumes should also help make real-time decisions, for example when selecting suitable warehouse locations or redistributing transport volumes. The onboarding of new logistics service providers (Third-Party Logistics, 3PL) can also be implemented more quickly via the platform, since processes are standardized and automated.
Adaptive workflows for global supply chains, volatile demand and multiple sales channels
A particular focus of the partnership is on creating adaptive workflows that can adjust to changing market conditions. According to Infios, this is a response to the increasing complexity of global supply chains,
shaped by volatile demand, multiple sales channels, and rising expectations for delivery speed. The planned systems should enable distributors to respond early to bottlenecks and dynamically manage their resources. In this, the intelligent linkage of Order Management, Warehouse Management, and Transport Management will be a central factor.
The official start of the collaboration is planned for early 2026. The AI-powered functions will initially be anchored in the “Infios OM”; additional applications in the area of warehouse and transport management are to follow. Infios expects greater scalability of its solutions as well as a sustainable efficiency improvement for logistics networks.
Background: “Amazon Bedrock” and “Strands Agents”
“Amazon Bedrock” is a platform for the development, customization, and operation of generative AI applications and agents. It provides access to so-called foundation models and provides tools to implement AI solutions securely, at scale, and in a practical manner. A central element is the AgentCore framework, which includes, among other things, a gateway for securely connecting agents to data sources and systems, a memory module for storing contextual information, a scalable runtime for executing dynamic workloads, an identity management for authentication, and features for observability and fault diagnosis.
“Strands Agents” is an open-source SDK for rapid development and deployment of AI agents. It relies on the capabilities of modern language models for planning, tool use, and decision-making, without the need to define complex workflows. Developers create agents with a few lines of code, test them locally, and scale them to the cloud. Strands supports customization and is compatible with various models, including Amazon Bedrock and Llama. The SDK is already used in several AWS products and targets developers who want to implement production-ready agents efficiently.
Background: Infios
Infios integrates order and warehouse management, fulfillment, and transport management into a holistic solution suite. The company, based in Minneapolis, currently serves over 5,000 customers in 70 countries. It emerged in early 2025 from
the joint venture between the international technology provider Körber and the global investment company KKR from the Körber Supply Chain Software business unit.
“AI agents will free employees from repetitive tasks”
Interview: Eugene Amigud, Chief Innovation Officer at Infios, on the collaboration with AWS, the possibilities of artificial intelligence in logistics, and how mid-sized companies can benefit from the new technology.
LOGISTRA: What concrete use cases will the generative AI agents in Infios Order Management address first?
Eugene Amigud: We prioritize effective agent-based workflows that simplify the opening of new sales channels, automate the order release process, and autonomously detect anomalies in order processing. These use cases help reduce the number of manual interventions, shorten the time to revenue realization, and improve accuracy at high order volumes.
LOGISTRA: How does the introduction of AI agents change the role of logistics professionals in operational control?
Eugene Amigud: AI agents will free employees from repetitive tasks and give them real-time insights into order execution. The teams will focus on monitoring strategic KPIs, managing intelligent workflows, and solving exception situations, instead of handling routine tasks or reacting to problems.
LOGISTRA: What prerequisites must companies have to efficiently integrate the new technology?
Eugene Amigud: Companies should use standardized, cloud-based processing systems for order, warehouse, and transport management, and data streams must be accessible in real time via APIs. Infios's concept builds on existing processes and enables modernization without a full system replacement.
LOGISTRA: How is it ensured that AI-assisted decisions remain traceable and transparent?
Eugene Amigud: Responsible, explainable AI is built into our solutions from the start. AI-driven actions are logged, auditable, and clearly justified. Infios ensures that AI recommendations include justifications, escalation paths, and testable options, so that the decision-making process remains transparent and traceable.
LOGISTRA: To what extent can the planned AI functions be transferred to existing warehouse and transportation systems?
Eugene Amigud: The focus is initially on
order management, but the intelligence framework is designed to include warehouse and transport systems. The technical building blocks and the agent-based logic can be adapted across the entire execution stack—the future vision, therefore, includes a unified orchestration across all levels of the supply chain.
LOGISTRA: What role do security and data protection aspects play in the introduction of generative AI in the supply chain?
Eugene Amigud: Security and data protection are an integral part of the AI capabilities and also of the broader portfolio of AWS and Infios. In the collaboration, an enterprise-class cloud infrastructure, encrypted data flows, role-based access controls, and strict governance are used to ensure that the deployment of AI agents complies with customer and regulatory standards.
LOGISTRA: How scalable is the solution for mid-sized logistics companies with limited IT resources?
Eugene Amigud: The solution is modular and API-first, so features at enterprise level are available to all. Medium-sized companies can implement their use cases step by step, leverage existing systems, and scale the intelligence gradually, without large upfront investments or major disruptions.
LOGISTRA: How is the collaboration with the AWS Innovation Team concretely organized—and what development phases are planned until rollout?
Eugene Amigud: Our collaboration with the AWS Innovation Team is based on a co-innovation model that brings together Infios' extensive expertise in supply chain and order management with AWS's leadership in generative and agent-based AI. Together, we have chosen less a technology-oriented approach and more a customer-oriented one.
From real customer challenges, we were able to define and prioritize important use cases that deliver measurable business value. This also strengthened stakeholders' willingness to collaborate. Subsequently, we defined several development stages from AI-assisted workflow design, through a dialog-oriented workflow design engine, to agent-supported transactions. Through this step-by-step approach, we can ensure that we implement innovations in manageable, meaningful steps and validate each step against real customer scenarios.
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