THE ROLE OF ARTIFICIAL INTELLIGENCE AND MACHINE LEARNING IN INDUSTRIAL SUPPLY CHAIN OPTIMIZATION – AJHSSR

THE ROLE OF ARTIFICIAL INTELLIGENCE AND MACHINE LEARNING IN INDUSTRIAL SUPPLY CHAIN OPTIMIZATION

THE ROLE OF ARTIFICIAL INTELLIGENCE AND MACHINE LEARNING IN INDUSTRIAL SUPPLY CHAIN OPTIMIZATION

ABSTRACT : Advanced technologies become essential because industrial supply chains have become more complex while expanding globally to improve efficiency as well as agility and decision-making abilities. Market processes and supplier selection through Artificial Intelligence (AI) and Machine Learning (ML) have become disruptive technologies which help maximize supply chain efficiency. The research evaluates how AI and ML techniques boost supply chain operations through predictive data evaluation along with immediate information processing systems and robotic decision processors. The assessment of AI/ML adoption throughout industries relies on statistical models and case examinations as well as expert survey responses for data collection. The use of AI in supply chain operations produces resilient operations combined with lower costs and strengthens efficiency in responding to market shifts. The investigation adds value to current scientific research through its assessment of AI/ML implementation strategies and obstacles within industrial supply chain enhancement.