Mapping machine learning applications in Supply Chain Management: A bibliometric approach

Key Points

• Machine learning applications significantly influence supply chain management, enhancing efficiency and decision-making.
• Key findings show that algorithms have progressively evolved in logistics, impacting operations management over recent years.
• Observational analysis across multiple databases highlights various methodologies employed in the field, focusing on predictive modeling for improved outcomes.
• This analysis calls for further exploration into innovative machine learning techniques to address existing research gaps, ensuring practical implementations.