This study explores the impact of online reviews on consumer purchase decisions in the context of e-commerce platforms. Online reviews play a significant role in shaping consumer trust, influencing purchase intent, and determining brand credibility. The research examines the different types of online reviews, including text-based feedback, star ratings, video testimonials, and influencer content, to assess their effectiveness in driving consumer engagement.

Through a structured methodology, primary data was collected via a questionnaire from 160 respondents, supplemented by secondary research. The analysis reveals that factors such as review authenticity, volume, recency, and emotional language significantly impact consumer perception. Findings suggest that businesses must actively manage online reviews, address negative feedback promptly, and leverage positive testimonials to enhance brand reputation.

Additionally, the study explores the role of sentiment analysis in identifying consumer attitudes towards products and brands. The research highlights the increasing importance of artificial intelligence and machine learning in filtering fake reviews and enhancing the credibility of review platforms.

Moreover, the research shows psychological mechanisms that guide consumer decision-making, such as the bandwagon effect and confirmation bias, which stimulate how customers interpret feedback on the net. With these psychologic processes in mind, e-commerce brands can develop review management more effectively, based on understanding user-generated content with increasing engagement among users.