Author
Abstract
The integration of artificial intelligence into product management represents a fundamental shift in how organizations develop, market, and maintain digital products. This comprehensive article explores how AI technologies are transforming product management across multiple dimensions. It examines AI's capacity to revolutionize decision-making through enhanced data intelligence, enabling product teams to uncover insights from vast datasets that would remain hidden to human analysis alone. The article investigates how AI facilitates unprecedented personalization at scale, allowing for tailored user experiences that significantly improve engagement and retention. It further explores predictive analytics capabilities that shift product development from reactive to proactive approaches, forecasting user needs before they are explicitly articulated. Through examination of specific applications like A/B testing enhancement, feature prioritization, churn prediction, and market intelligence, the article demonstrates AI's practical impact on product management workflows. Finally, the article addresses the emerging revolution of generative AI technologies that are creating new possibilities for rapid prototyping, content creation, stakeholder communication, and innovative problem-solving in product development.
Suggested Citation
Srinivas Sriram Mantrala, 2025.
"The Transformative Impact of AI on Modern Product Management,"
International Journal of Scientific Research in Computer Science, Engineering and Information Technology, International Journal of Scientific Research in Computer Science, Engineering and Information Technology, vol. 11(2), pages 1555-1562, March.
Handle:
RePEc:jbh:ijsrcs:v11:y2025:i2:id:1221
DOI: 10.32628/CSEIT25112507
Note: Article URL: https://ijsrcseit.com/home/article/view/CSEIT25112507
Download full text from publisher
Corrections
All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:jbh:ijsrcs:v11:y2025:i2:id:1221. See general information about how to correct material in RePEc.
If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.
We have no bibliographic references for this item. You can help adding them by using this form .
If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.
For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Pankaj Sharma (USA) (email available below). General contact details of provider: https://ijsrcseit.com/home .
Please note that corrections may take a couple of weeks to filter through
the various RePEc services.