Contents
pdf Download PDF pdf Download XML
63 Views
29 Downloads
Share this article
Original Article | Volume 2 Issue 2 (ACR, 2025) | Pages 873 - 878
Machine Learning for Product Development: Predicting Consumer Preferences and Market Trends
 ,
 ,
 ,
1
Assistant Professor, Department of Management Studies, Middle East College, Muscat, Oman
2
Senior Lecturer, Department of Management Studies, Middle East College, Muscat, Oman
Under a Creative Commons license
Open Access
Abstract

Product administrators may now make better choices about costs, advertising, and development of products thanks to machine learning (ML), which is transforming analytical forecasting. They may search through enormous databases for unseen relationships or trends using this equipment, which gives them fresh perspectives on how decisions are made. A person pursuing a career in machine learning product management has to be well-versed in statistical analysis, mathematics, and the constraints of adaptive programming. To predict future trends and make better judgments about managing products, advanced machine learning algorithms can evaluate previous sales data. Additionally, they may use consumer preferences for items to tailor recommendations to make items and services stand out and inspire fresh, clever ideas for internet marketing. Managers of products may also benefit from using machine learning technologies to set goals for developing products and discover features that consumers find most useful.

Keywords
Recommended Articles
Original Article
Investigating the Cause–Effect Relationship Between Marketing Strategies and Purchase Intentions for Healthy Food Products
Original Article
Cross-Border Trade and Digital Payment: A New Paradigm in Global Business Management
Original Article
A Review of Digital Marketing Practices & Tools
Original Article
Safeguarding the Digital Consumer: A Comparative Legal and Psychological Analysis of Dark Patterns in E-Commerce
...
© Copyright Advances in Consumer Research