AI-Based Voice Agent for Automated Sales Calls
Ahmed Amarak, Mohamed Igamane, Tajjeeddine Rachidi, Yousra Chtouki · 2024
This paper presents an AI-based voice agent designed to enhance customer engagement in automated sales. Operating continuously, the agent leverages the power of Large Language Models (LLMs) to interact with potential customers, persuading them to purchase products or schedule appointments with human representatives. Initial performance evaluation gives extremely positive results highlighting the agent's potential to revolutionize sales interactions and improve operational efficiency. These are demonstrated by a conversion rate of 8%, significantly higher than industry averages of 2-5%, high ratings for friendliness, clarity, and realism in customer satisfaction surveys, and an average of 1.7 seconds reaction time during conversation.