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White Paper AI in Logistics - Visual

White Paper "Artificial Intelligence in Logistics

How to Leverage the Potential of AI to Optimize Your Processes

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“Artificial Intelligence in Logistics”

Using the Potential of AI Sensibly in Logistics

White Paper KI in der Logistik Mock-up

Artificial Intelligence was nothing more than a fashionable or a hype topic for a long time. In the meantime, AI has become a serious application capable of taking efficiency, quality, and productivity to a new level across many industries and processes.

AI combines historical and current data while recognizing correlations and anomalies. Thus, AI can draw conclusions that are usually not achievable by humans. This way, processes can be continuously optimized using AI, and problems can be prevented in advance. The benefits of AI also apply to logistics. The industry has recognized AI‘s potential for processes in the warehouse and on internal and external transport routes.

This White Paper describes the importance of AI for the logistics industry, presents some use cases, and provides tips and guidance on what to consider when implementing AI solutions.

White Paper Topics

AI in Logistics - Why and Wherefore
How Does Artificial Intelligence Work
Use Cases for AI in Logistics
How to Realize Your First AI Application
Basic Process of AI Projects
Use Case Collection KI Logistik_Mock-up - Arvato Systems
More Practice after Theory?

The use of artificial intelligence takes process quality and efficiency to a new level in logistics as well. Here, we have compiled ten use cases of AI in logistics for you and show their advantages.

Your Contacts for AI in Logistics

MA_Commerce_Pascal Leppich
Pascal Leppich
Expert for Logistics IT
Bernd Jaschinski-Schürmann
Expert for Logistics IT