Use AI agents to manage the supply chain more intelligently.

We develop AI agents for specific supply chain tasks, demonstrate their value through flagship projects, and use an AI operating model to lay the groundwork for secure and scalable implementation.

Supply Chain Team Uses an AI Agent to Analyze Supply Networks and Risks

Executive Summary

AI agents can analyze complex data, support planning and control processes, and identify deviations or risks at an early stage. However, the true value is realized only when agents are tailored to specific tasks, data, rules, and supply chain processes and are permanently integrated into the organization.

amc combines technological capabilities with proven supply chain processes and methods. Together, we develop relevant use cases, validate their benefits in a clearly defined AI flagship project, and create the foundation for scaling and productive deployment using an AI operating model.

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Common questions

"We have a lot of supply chain data, but we can't yet use it to make sound decisions."

“We often identify deviations and risks too late and respond primarily on an operational basis.”

"We're testing our first AI applications, but we don't know how to integrate them into our processes or scale them."

The challenge

Supply chains are becoming more complex, dynamic, and prone to disruptions. At the same time, companies have access to large volumes of internal and external data. However, this data is often scattered across different systems, insufficiently structured, or can only be analyzed with a significant amount of manual effort. As a result, many AI initiatives remain limited to individual analyses or pilot projects. There is a lack of clearly prioritized use cases, robust data structures, and clear responsibilities for quality, decision-making, operations, and further development. The central challenge lies not solely in the technology. It is crucial to align AI agents with specific supply chain tasks, demonstrate their value, and integrate them securely into processes, the organization, and the system landscape.

Our Approach

amc takes a modular and risk-mitigated approach. We start where your supply chain organization stands today: with a compact inspiration, a concrete AI flagship project, the development of an AI operating model, or the implementation of proven solutions. Our AI agents combine modern technology with proven supply chain processes and methods. They handle defined tasks, process relevant information, follow a predetermined process and evaluation logic, and generate structured, decision-relevant results. This approach does not result in isolated AI applications, but rather in reusable solutions that deliver clear value to operational, tactical, and strategic supply chain processes.

Resilience Quick Check

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Resilience Quick Check

Results

The strategic use of AI improves transparency, responsiveness, and controllability throughout the supply chain. Typical benefits include faster analysis, more accurate forecasts, and greater supply chain resilience.
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Frequently Asked Questions

An AI agent performs a defined supply chain task. It processes relevant information, follows established process and evaluation logic, and generates structured results—such as analyses, alerts, scenarios, or decision templates.
Suitable areas of application include sales and demand planning, inventory optimization, risk management, order confirmation verification, production and capacity planning, and the strategic design of supply networks.

Our expert in the field of artificial intelligence

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“As independent and impartial consultants, we develop comprehensive digital transformation strategies and inspire our clients to embrace the world of AI and digital tools.”
Management

Fabian Kittel

+49 (0) 175 18 56 448
fabian.kittel@amc-group.de