Machine Learning for Strategic Decision-Making in Resource Planning and Performance Improvement

Strategic decision-making in resource planning and performance improvement is vital for organizations striving to achieve competitive advantage and operational excellence. Traditional approaches often face challenges in managing the complexity, uncertainty, and rapidly changing conditions of today’s business environments. Machine learning, a branch of artificial intelligence that enables systems to learn from data and improve over time without explicit programming, offers advanced capabilities to analyze large datasets, identify hidden patterns, and generate predictive insights. These capabilities empower organizations to enhance strategic planning, optimize resource allocation, and foster continuous performance improvement through data-driven, adaptive processes. his review synthesizes literature on machine learning applications in demand forecasting, capacity optimization, risk management, and performance measurement.. This paper briefly reviews the role of machine learning techniques in supporting strategic decision-making focused on resource planning and performance enhancement.