A STUDY ON TURNING REVIEWS INTO REVENUE: UTILIZING AI-DRIVEN CONSUMER INSIGHTS FOR SUSTAINABLE BUSINESS SUCCESS

This study focuses on exploring how artificial intelligence (AI) can transform online customer
reviews into actionable consumer insights, supporting sustainable business growth. With digital
commerce expanding globally, online reviews now play a significant role in influencing consumer
purchasing behavior. Consumers increasingly rely on peer reviews and ratings before making
buying decisions, making them a valuable data source for businesses. AI-powered tools such as
natural language processing (NLP), sentiment analysis, and predictive analytics help businesses
analyze these vast amounts of unstructured review data quickly and efficiently. This research
investigates how organizations utilize AI technologies to extract meaningful patterns from online
reviews, which in turn help in product improvement, customer engagement, marketing strategies,
and maintaining long-term sustainability. The study also identifies challenges businesses face while
implementing AI solutions, including data privacy concerns, algorithm transparency, and cost
barriers.The findings indicate that businesses that actively incorporate AI-driven consumer insights
from online reviews show improved customer satisfaction, stronger brand loyalty, and increased
revenue. This highlights the essential role AI plays not only in driving profit but also in supporting
sustainable business practices that consider customer needs and preferences.