Revolutionizing Sales: A Comprehensive Approach to AI-Powered Sales Call Assistance

This study addresses the critical need for multi-modal conversational agents in e-commerce by integrating voice, text, and visual inputs to enhance customer engagement. Existing research predominantly focuses on text-based agents, neglecting the potential for multimodal interaction, thus creating a gap in the development of comprehensive sales assistants capable of accommodating diverse user preferences. Leveraging advanced technologies, including the ChatGPT API, Speech-to-Text, Text-to-Speech Models, and other LLMs, our methodology crafts an AI-driven sales call assistant, which undergoes rigorous evaluation to demonstrate its effectiveness fostering meaningful interactions. Results showcase sustained engagement, high accuracy in response generation and identified areas for optimization, highlighting the significance of our approach in advancing e-commerce customer engagement. This study offers a pioneering solution to bridge the gap in multimodal conversational agents, thereby contributing to transformative innovation in e-commerce customer interaction.