Artificial intelligence (AI) is undoubtedly a critical technology that has been widely adopted in various fields, especially in business, art, and science. AI algorithms perform tasks that require human-like intelligence. These tasks include machine learning, deep learning, and complex decision-making processes. AI applications are used across all industries, particularly in industrial procurement 4.0, which is derived from logistics 4.0. This area is important for optimizing processes. An empirical analysis of AI use cases in industrial procurement shows that supplier selection, supplier performance measurement, and negotiation technologies are among the most frequently used and effective applications.

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Application Scenarios for the Examination of the Impact of Artificial Intelligence in Industrial Procurement 4.0 Challenges and Processes

  • Karl-Heinz Lüke,
  • Gerald Eichler

摘要

Artificial intelligence (AI) is undoubtedly a critical technology that has been widely adopted in various fields, especially in business, art, and science. AI algorithms perform tasks that require human-like intelligence. These tasks include machine learning, deep learning, and complex decision-making processes. AI applications are used across all industries, particularly in industrial procurement 4.0, which is derived from logistics 4.0. This area is important for optimizing processes. An empirical analysis of AI use cases in industrial procurement shows that supplier selection, supplier performance measurement, and negotiation technologies are among the most frequently used and effective applications.