Proceedings of International Conference on Computer Science and Communication Engineering (ICCSCE 2025)

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Leveraging Artificial Intelligence For Strategic Decision-Making In Business Management

Authors
B. Indira Priyadarshini1, *, K. Mary Keerthi1, V. Manimegalai2, K. Ravikumar3, Bhavyarajsinh D. Jhala4, M. Baritha Begum5
1Assistant Professor, Department of Business Management (PG), St. Ann’s College for Women, Mehdipatnam, Hyderabad, 500028, India
2Professor, Department of Management Studies, Nandha Engineering College, Erode, Tamilnadu, India
3Professor, Management Studies, Nehru Institute of Information Technology and Management, Coimbatore, India
4Assistant Professor, Faculty of Management Studies, Marwadi University, Rajkot, India
5Associate Professor, Saranathan College of Engineering, Trichy, Tamil Nadu, India
*Corresponding author. Email: indira.boojala@stannscollegehyd.com
Corresponding Author
B. Indira Priyadarshini
Available Online 4 November 2025.
DOI
10.2991/978-94-6463-858-5_13How to use a DOI?
Keywords
AI-driven decision-making; machine learning; automation; real-time data analysis; risk assessment; business strategy
Abstract

The proposed AI-driven strategic decision-making system leverages advanced machine learning models, real-time data processing, and automated risk assessment to enhance business management efficiency. The system integrates neural networks, deep learning algorithms, and Bayesian networks to ensure high accuracy, rapid decision-making, and effective risk mitigation. By reducing human intervention by 70% and increasing automation to 95%, it significantly improves operational efficiency. Real-time data analysis enhances anomaly detection and predictive insights, leading to proactive decision-making. The system also personalizes customer interactions using clustering algorithms, increasing engagement and satisfaction. Comparative analysis demonstrates that the proposed system outperforms traditional methods in decision speed, accuracy, and resource utilization, ensuring a 92% customer satisfaction rate. This AI-powered approach optimizes business strategy, minimizes risks, and enhances overall decision-making capabilities, making it a scalable and adaptive solution for dynamic business environments.

Copyright
© 2025 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

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Volume Title
Proceedings of International Conference on Computer Science and Communication Engineering (ICCSCE 2025)
Series
Advances in Computer Science Research
Publication Date
4 November 2025
ISBN
978-94-6463-858-5
ISSN
2352-538X
DOI
10.2991/978-94-6463-858-5_13How to use a DOI?
Copyright
© 2025 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

Cite this article

risenwbib
TY  - CONF
AU  - B. Indira Priyadarshini
AU  - K. Mary Keerthi
AU  - V. Manimegalai
AU  - K. Ravikumar
AU  - Bhavyarajsinh D. Jhala
AU  - M. Baritha Begum
PY  - 2025
DA  - 2025/11/04
TI  - Leveraging Artificial Intelligence For Strategic Decision-Making In Business Management
BT  - Proceedings of International Conference on Computer Science and Communication Engineering (ICCSCE 2025)
PB  - Atlantis Press
SP  - 132
EP  - 145
SN  - 2352-538X
UR  - https://doi.org/10.2991/978-94-6463-858-5_13
DO  - 10.2991/978-94-6463-858-5_13
ID  - Priyadarshini2025
ER  -