How the AI Assistant Makes the Supply Chain Smarter

Artificial intelligence has the potential to fundamentally transform day-to-day work in the supply chain. However, its added value isn’t found in impressive algorithms, but rather in the ways it supports people with specific tasks. This is precisely the approach GIB is taking with its new AI assistant. It is designed to make knowledge more readily accessible, simplify complex tasks, and help users make better decisions.

The system already knows the answer

Today, anyone who wants to use new features or configure complex settings often has to search through documentation or consult experts. The AI Assistant brings this knowledge directly into the system. Users can ask questions in natural language and immediately receive the information they need in the appropriate context.

In addition, the Assistant is designed to provide support in the development of rule sets and scheduling parameters. This process, in particular, often requires a great deal of experience and coordination. With intelligent suggestions, users can more quickly identify appropriate calculation logic and settings and focus more on the actual process optimization.

From the Synopsis to the Plot

Additional value is created when data is transformed into concrete recommendations for action. Instead of relying on static reports, users can ask questions based on the situation and obtain exactly the information they need to make their current decision. At the same time, AI can flag anomalies or risks before they turn into real problems.

AI Assistance to Combat Slow-Moving Inventory

Even typical processes, such as dealing with slow-moving inventory, offer great potential. If inventory remains untouched for an extended period, the Assistant can suggest appropriate measures and prepare for their implementation. This way, problems are not only identified but also directly linked to possible solutions.

Despite all the automation, people remain the decisive factor. AI is meant to support, not replace. That is why GIB consistently relies on the „human-in-the-loop“ approach: The assistant provides information, recommendations, and predefined actions, but the final decision continues to be made by those in charge.

„An intelligent supply chain isn't created by AI alone.
It arises when reliable data, process knowledge, and
”human experience works together in a meaningful way."

Marc Bertelmann,
Director of Technical Inventory Management,
GIB

Marc Bertelmann, Director of Technical Management Inventory, also emphasizes how important this idea is: „AI is meant to support, advise, and prepare. The responsibility and the decision remain with humans.“

That is precisely where the greatest benefit lies. When routine tasks take up less time, there is more room for strategic issues, process improvements, and well-informed decisions. The AI assistant thus does not replace human expertise, but rather serves as a tool that makes it more effective.

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