Role of AI-Driven Predictive Analytics in Strategic Management

doi:N/A

eISSN: 2202-4859 / ISSN: None

Revenue Law Journal

2025, Volume 31, ISSUE 2 : 1-8

Research Article

Role of AI-Driven Predictive Analytics in Strategic Management

Vikram A. Srinivasan

Department of Strategic Management & Data Intelligence National Institute of Business Analytics & Technology (NIBAT) Chennai, Tamil Nadu, India

Abstract

Artificial Intelligence (AI)-driven predictive analytics has become a foundational tool in modern strategic management, enabling organizations to anticipate market shifts, optimize resources, and make evidence-based decisions. Unlike traditional descriptive analytics, AI-enabled predictive systems leverage machine learning, deep learning, and advanced statistical modeling to generate future-oriented insights. This research synthesizes theoretical and organizational perspectives on the strategic importance of predictive analytics. A Strategic Predictive Intelligence Framework (SPIF) is proposed, integrating machine learning workflows with strategic planning processes. Conceptual diagrams and tables illustrate how predictive analytics enhances industry forecasting, competitive intelligence, customer strategy, supply chain planning, and risk management. The study concludes with practical recommendations for enterprises and identifies areas for future research.

Keywords

Predictive Analytics

Artificial Intelligence

Strategic Management

Machine Learning

Decision-Making

Forecasting

Competitive Intelligence

Business Strategy

License

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