AI-Driven Product and Operations Management Using Consumer Insight and Agentic Systems

Authors

  • Rakshith Aralimatti, Vivek Udaykumar and Noufal Basheer

Keywords:

Artificial intelligence; Consumer insight; Agentic systems; Product management; Operations management; Autonomous decision-making

Abstract

The increasing complexity of contemporary markets has intensified the need for intelligent andadaptive approaches to product and operations management. This study examines how AIdriven consumer insight, combined with agentic systems, enables more effective, responsive, and scalable management of products and operations.

References

Aldoseri, A., Al-Khalifa, K. N., & Hamouda, A. M. (2024). AI-powered innovation in digital transformation: Key pillars and industry impact. Sustainability, 16(5), 1790.

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Published

2025-12-31

How to Cite

Rakshith Aralimatti, Vivek Udaykumar and Noufal Basheer. (2025). AI-Driven Product and Operations Management Using Consumer Insight and Agentic Systems. Journal of Computational Analysis and Applications (JoCAAA), 34(12), 1095–1108. Retrieved from https://www.eudoxuspress.com/index.php/pub/article/view/4988

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Section

Articles