Strategic Intelligence Redefined: The Role of AI-powered Analytics in Business Strategy Formulation
Varad Rajan Bhanage
*
Department of Management Studies, Vivekanand College, Kolhapur, Maharashtra, India.
*Author to whom correspondence should be addressed.
Abstract
The convergence of Artificial Intelligence (AI) and data analytics is revolutionizing traditional business strategy by enabling predictive intelligence, accelerated decision-making, and agile responses to dynamic market conditions. This paper investigates the pivotal role of AI-powered analytics in strategic planning and execution, illustrating how organizations leverage these technologies to gain competitive advantage, personalize customer engagement, and streamline operations. Through a qualitative content analysis of recent academic literature and illustrative case studies from leading firms such as Amazon, Unilever, and Netflix, the study examines AI's strategic impact across domains including market segmentation, resource optimization, risk assessment, and competitive intelligence. The research underscores the significance of machine learning, natural language processing, and prescriptive analytics in fostering strategic foresight. The paper concludes by proposing a structured framework for the integration of AI-driven analytics into corporate strategy, offering actionable insights for both scholars and practitioners.
Keywords: Artificial intelligence, business strategy, predictive analytics, strategic decision-making, machine learning, competitive intelligence, AI-driven innovation