Conversational commerce is revolutionizing the way consumers interact with businesses by integrating voice assistants and chatbots into the purchasing journey. This study explores the effectiveness, user perception, and economic implications of deploying conversational interfaces in e-commerce. With the rise of AI and NLP technologies, businesses are adopting these tools to streamline customer service, improve sales conversion rates, and enhance the overall shopping experience. Using primary data from consumers and businesses and supported by statistical analysis, this research highlights the growing importance of conversational commerce, its challenges, and its potential in shaping the future of digital transactions. This study analysing the user satisfaction and the impact of chatbots and Voice Assistants on consumer purchase decisions. A convenience sampling method was employed to select a sample of 200 respondents, specifically targeting online shoppers aged between 18 and 50 years. Data was collected using a structured online questionnaire that incorporated both a 5-point Likert scale and binary (Yes/No) response formats to capture a wide range of perceptions and behaviors. The collected data was analyzed using various statistical tools, including descriptive statistics, One-Way ANOVA, and the Chi-Square Test, to draw meaningful inferences. Primary data and secondary data were used for this study to analyse each objectives.