Infios presents AI agents for efficient supply chains

Infios has introduced a range of new features for its AI-powered platform designed to help companies make their supply chains more efficient. The new features aim to make intelligence in global supply chains accessible to companies of various sizes and to create modular, adaptable execution systems. These systems can operate independently while decisions and actions are coordinated in real-time.

Existing logistics systems are often not equipped to handle the increasing pressure in supply chains, leading to disruptions. While information is often available, automatic countermeasures are not derived from it. Manual interventions frequently occur only after damage has already been done. To counter this problem, Infios integrates intelligence directly into the operational execution level. Various AI technologies are employed to detect disruptions early, make decisions, and take immediate action. This occurs within a continuous optimization process based on the „Sense–Decide–Act–Learn“ concept.

Automation through AI Agents

Infios’s new AI agents are designed not to replace existing execution systems but to enable their orchestration. Decisions in one area can trigger coordinated actions in other areas. For example, transport agents automate tasks such as driver check calls using AI-powered voice agents activated by defined events. This leads to a significant reduction in manual interventions, while exceptions are handled contextually.

Order and document agents are capable of capturing, translating, and validating unstructured documents such as orders or freight bills. These documents are transformed into structured data during the ongoing process, eliminating the need for manual data entry and ensuring transparency in goods receipt. Warehouse agents assist managers and employees through automated inventory analyses and real-time problem-solving. Optimization agents, on the other hand, determine the best routes and fulfillment options and adjust them dynamically without requiring manual intervention.

Results in Practice

Companies already working with Infios AI report tangible results. For instance, a global apparel company was able to reduce the order release time from hours to minutes. A U.S. online retailer recorded a 70% decrease in backorders in production environments, while a leading logistics service provider achieved an autonomy rate of 83% in order capture. Additionally, disruptions for all customers could be identified and resolved within minutes.

Eugene Amigud, Chief Innovation Officer of Infios, explains: „What makes Infios AI agents special is that they operate directly within real workflows where decisions are made every minute. By integrating AI into the operational level, orders are automatically updated in real-time, warehouse processes are adjusted, and transports are replanned in response to changes.“

Gradual Development Towards Autonomy

The development of autonomy occurs gradually. Infios AI operates within customer-defined parameters and evolves from helpful recommendations to full automation. In the first stage, the agents act assistively and recommend actions with understandable justifications. In the second stage, they execute work steps within defined rules. In the third stage, the agents make operational decisions and execute them autonomously.

Companies have the option to start with a single application, such as for delayed deliveries or order changes, and gradually expand the solution. This harmonizes execution, speeds up decision-making, and automates responses, leading to uninterrupted processes.

www.infios.com