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Chatbot is a computer program that mimics human conversation and performs streamlined communication with the user through text messages. The usage of chatbots in the commercial field has been increasing recently due to the enhancement of customer satisfaction and product sales. However, most chatbots depend on antiquated models that can only provide pre-programmed responses, which is unclear and erroneous. This paper aims to build an automated mobile chatbot for a flower shop to assist them in reducing costs, boosting the business's growth, and establishing connections with clients in an increasingly digital environment. The majority of robots have been around for about ten years and work by following rules. These kinds of chatbot answer to customers based on the rules for the conversation. The proposed chatbot is implemented by machine learning approaches and natural language processing algorithms to enhance the chatbot's adaptability and human-like qualities, the chatbot are learning from the unsolved question based on the admin given answer. Besides, the admin interface is created to ease the data management in the proposed chatbot. [ABSTRACT FROM AUTHOR]