Background: AI chatbots represent a significant shift from rule-based automation toward adaptive, data-driven interaction models capable of understanding natural language and responding in real time. These systems enable companies to manage high volumes of customer inquiries while maintaining consistent service quality, thereby reducing operational costs and improving response speed. Method: The sample size is 100 participants. Equal responses are collected for both the genders (male and female). A self-made survey questionnaire is used which assesses across domains of AI chatbot usage, customer perception as well as customer satisfaction. It consists of 20 items. The scoring is done on a 5-point Likert Scale ranging from strongly disagree (1) to strongly agree (5). Results: In conclusion this study shows that people are satisfied with chatbot services. What makes them happy is complicated. Companies need to pay attention to how their chatbots work and what people want and need. The results of this study can help companies make chatbots and provide better service to their customers.
SINGH et al. (Thu,) studied this question.