Mikailalsys Journal of Advanced Engineering International
Vol 2 No 2 (2025): Mikailalsys Journal of Advanced Engineering International

AI-Powered Consumer-Generated Insights for Product Innovation

Asunmonu, Ajoke A. (Unknown)



Article Info

Publish Date
07 Apr 2025

Abstract

This research explores how AI-powered consumer-generated insights (CGI) enhance product innovation by analyzing unstructured data from reviews, social media, and visual content. Using natural language processing (NLP) and machine learning (ML), the study examines AI's role in identifying trends, accelerating development, and improving customer-centric design. Through case studies and data analysis, it evaluates AI's effectiveness while addressing challenges like data privacy and algorithmic bias. The findings aim to provide businesses with a practical framework for leveraging AI-driven insights responsibly, offering actionable strategies for faster, more innovative product development.

Copyrights © 2025






Journal Info

Abbrev

MJAEI

Publisher

Subject

Chemical Engineering, Chemistry & Bioengineering Computer Science & IT Electrical & Electronics Engineering Engineering Mechanical Engineering

Description

Mikailalsys Journal of Advanced Engineering International [3046-8914 (Print) and 3046-9694 (Online)] is a double-blind peer-reviewed, and open-access journal dedicated to disseminating all information contributing to the understanding and development of the fields of engineering and technology ...