Artificial Intelligence and Workforce Performance Optimization in Government Supply Chains

Abstract

This review examines how Artificial Intelligence (AI) can be used to improve the performance of the workforce in government supply chains. It explores essential AI tools like machine learning, natural language processing, and automation, as well as their usage in procurement, logistics, inventory management, and risk identification. The study emphasizes the role of AI in optimizing the workforce, enabling better decision-making, automating repetitive tasks, and implementing sophisticated monitoring systems. It also explains how AI is being used to improve public supply chains over the years and its advantages such as reducing costs, delivering transparency, and providing speedy service. But obstacles like data quality, ethical issues, cybersecurity risks and a lack of employee acceptance are recognized. The review also covers workforce implications and governance issues and directions for future research. In conclusion, AI has the potential to be a powerful enabler for improving government supply chain efficiency and workforce productivity, provided it is used responsibly and effectively.