International Journal For Multidisciplinary Research
E-ISSN: 2582-2160
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A Widely Indexed Open Access Peer Reviewed Multidisciplinary Bi-monthly Scholarly International Journal
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Volume 8 Issue 2
March-April 2026
Indexing Partners
Artificial Intelligence in Finance, Marketing, and Operations: A Comprehensive Study on Business Performance, Efficiency, and Strategic Decision-Making
| Author(s) | Ashvini Hambirrao Patil, Sachin Pavan Kumar Mishra |
|---|---|
| Country | India |
| Abstract | Artificial Intelligence (AI) has emerged as a transformative force across various business functions, particularly in finance, marketing, and operations. This study examines the role of AI in improving business performance, enhancing operational efficiency, and supporting strategic decision-making. In finance, AI technologies such as machine learning and predictive analytics help in risk assessment, fraud detection, and investment planning. In marketing, AI enables customer segmentation, personalized recommendations, and data-driven campaigns that improve customer engagement and satisfaction. In operations, AI contributes to process automation, supply chain optimization, and demand forecasting, leading to cost reduction and improved productivity. The research is based on a review of existing literature, industry reports, and case-based analysis to understand how organizations are adopting AI tools in real-world scenarios. The findings indicate that AI not only increases accuracy and speed in business processes but also provides valuable insights for better strategic planning. However, challenges such as high implementation costs, data privacy concerns, and the need for skilled professionals remain significant barriers. The study concludes that the integration of AI in business functions creates a competitive advantage by enhancing efficiency, supporting innovation, and enabling informed decision-making. Organizations that effectively adopt AI technologies are more likely to achieve sustainable growth and improved performance in a dynamic business environment. |
| Keywords | Artificial Intelligence, Business Performance, Operational Efficiency, Strategic Decision-Making, Machine Learning, Predictive Analytics, Finance, Marketing, Operations, Automation, Data-Driven Insights, Customer Segmentation, Supply Chain Management |
| Field | Computer > Artificial Intelligence / Simulation / Virtual Reality |
| Published In | Volume 8, Issue 2, March-April 2026 |
| Published On | 2026-04-14 |
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E-ISSN 2582-2160
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IJFMR DOI prefix is
10.36948/ijfmr
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