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LEVERAGING ARTIFICIAL INTELLIGENCE FOR BUSINESS PROCESS OPTIMIZATION: EVIDENCE FROM CASE STUDIES
LEVERAGING ARTIFICIAL INTELLIGENCE FOR BUSINESS PROCESS OPTIMIZATION: EVIDENCE FROM CASE STUDIES
Dr. Azmath Rukhsana,
Assistant Professor,
Post Graduate Department of Commerce,
BMS College for Women, Autonomous, Bengaluru
Abstract
This study explores the transformative impact of artificial intelligence (AI) on business process optimization, focusing on case studies and deriving key insights. The research aims to identify how AI technologies are being applied across various industries to enhance efficiency, reduce costs, and improve overall business performance. By analyzing real-world implementations, the study provides a comprehensive understanding of the specific AI techniques used, such as machine learning, natural language processing, and robotic process automation. Key findings highlight the significant benefits of AI-driven optimization, including increased operational efficiency, better decision-making capabilities, and enhanced customer experiences. Additionally, the research addresses the challenges and limitations associated with AI adoption, such as integration complexities, data quality issues, and the need for continuous learning and adaptation. This study contributes valuable insights into best practices for leveraging AI in business process optimization and offers guidance for organizations seeking to implement AI solutions effectively.
Keywords: Artificial Intelligence (AI), Business Process Optimization (BPO), Case Studies, Machine Learning, Automation, Decision-Making, Business Efficiency, Innovation
