📄 Abstract
The convergence of artificial intelligence (AI) and sustainable business practices represents a transformative paradigm shift in contemporary corporate strategy. This research explores the intricate relationship between advanced technological capabilities and responsible innovation, examining how AI can catalyze more sustainable, efficient, and ethically-driven marketing approaches. By leveraging machine learning, predictive analytics, and intelligent systems, organizations can develop sophisticated strategies that simultaneously address environmental challenges, optimize resource allocation, and create meaningful consumer engagement. The study investigates the multifaceted potential of AI in sustainability initiatives, analyzing its capacity to generate actionable insights, predict consumer behaviour, and design targeted interventions that minimize ecological footprints. Through comprehensive examination of emerging technologies, strategic frameworks, and real-world case studies, this research demonstrates how AI can transform traditional marketing paradigms into dynamic, responsive, and environmentally conscious ecosystems. Key findings highlight the potential for AI to drive systemic change, offering businesses innovative tools to balance economic objectives with environmental stewardship. The research contributes critical perspectives on integrating technological intelligence with sustainable development goals, providing a roadmap for responsible business innovation in the digital age.
🏷️ Keywords
📚 How to Cite:
Dr. Aamar Moorjani , Lena Ramirez , AI-DRIVEN SUSTAINABILITY STRATEGIES FOR RESPONSIBLE BUSINESS INNOVATION , Volume 12 , Issue 3, march 2025, EPRA International Journal of Economics, Business and Management Studies (EBMS) , DOI: https://doi.org/10.36713/epra20627