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ISSN Approved Journal || eISSN: 2582-8185 || CODEN: IJSRO2 || Impact Factor 8.2 || Google Scholar and CrossRef Indexed

Peer Reviewed and Referred Journal || Free Certificate of Publication

Research and review articles are invited for publication in March 2026 (Volume 18, Issue 3) Submit manuscript

Leveraging AI for transformative business development: Strategies for market analysis, customer insights, and competitive intelligence

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  • Leveraging AI for transformative business development: Strategies for market analysis, customer insights, and competitive intelligence

Temitayo Oluwadamilola Adesoga 1, *, Omolara Patricia Olaiya 1, Omotoyosi Qazeem Obani 2, Mary-Cynthia Uchenna Orji 3, Chimezirim Akanu Orji 4 and Oluwabusola Dorcas Olagunju 5

1 College of Business, Auburn University, USA.
2 School of Management, Yale University, USA.
3 Graduate School of Arts and Science, Tufts University, USA.
4 The Absolute Robotics Limited, Nigeria.
5 College of professional study, Northeastern University, The Roux Institute, Portland, ME.

Review Article
 
International Journal of Science and Research Archive, 2024, 12(02), 799–805.
Article DOI: 10.30574/ijsra.2024.12.2.1291
DOI url: https://doi.org/10.30574/ijsra.2024.12.2.1291

Received on 05 June 2024; revised on 14 July 2024; accepted on 17 July 2024

The advent of artificial intelligence (AI) has dramatically changed the business landscape, providing unprecedented opportunities for organizations to transform, grow and innovate This research paper explores how AI can be used to transform business advanced growth strategies, market research, customer insights and competitive intelligence. Companies can reap many benefits from integrating AI into their operations. AI algorithms can analyze large data sets to identify trends and patterns beyond human capabilities, enabling companies to forecast market demand, streamline distribution, and make data-driven decisions in terms of production and marketing. AI also empowers customers with more personalized experiences by analyzing behaviors and preferences to recommend personalized products and services. This personalization drives greater customer engagement, loyalty and increased sales. The paper highlights the transformative potential of AI through real-world examples and case studies in various industries. These examples illustrate the impact of AI, from predicting customer attendance in mobile communication to optimizing marketing campaigns in retail.
However, implementing AI is not without its challenges. Businesses need to address the need for robust data structures and reduce the potential for bias in AI algorithms. Furthermore, ethical considerations such as data privacy and displacement of human workers must be treated with caution. The paper discusses these challenges and highlights the importance of responsible AI implementation strategies. By acknowledging and addressing these obstacles, companies can unlock the full potential of AI. This review paper aims to provide readers with a comprehensive understanding of AI-driven business development strategies, enabling them to harness the potential of AI to drive sustainable growth and success.

AI-driven business development; Market research; Customer insights; Competitive intelligence; Personalized experiences; Ethical considerations

https://ijsra.net/sites/default/files/fulltext_pdf/IJSRA-2024-1291.pdf

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Temitayo Oluwadamilola Adesoga, Omolara Patricia Olaiya, Omotoyosi Qazeem Obani, Mary-Cynthia Uchenna Orji, Chimezirim Akanu Orji and Oluwabusola Dorcas Olagunju. Leveraging AI for transformative business development: Strategies for market analysis, customer insights, and competitive intelligence. International Journal of Science and Research Archive, 2024, 12(02), 799–805. Article DOI: https://doi.org/10.30574/ijsra.2024.12.2.1291

Copyright © Author(s). All rights reserved. This article is published under the terms of the Creative Commons Attribution 4.0 International License (CC BY 4.0), which permits use, sharing, adaptation, distribution, and reproduction in any medium or format, as long as appropriate credit is given to the original author(s) and source, a link to the license is provided, and any changes made are indicated.


All statements, opinions, and data contained in this publication are solely those of the individual author(s) and contributor(s). The journal, editors, reviewers, and publisher disclaim any responsibility or liability for the content, including accuracy, completeness, or any consequences arising from its use.

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