Text-to-speech technology in conversational AI is transforming virtual shopping experiences by providing personalized and interactive customer service akin to in-store shopping, enhancing user engagement through natural language processing and voice interfaces. This technology enables virtual shopping assistants to understand context, deliver real-time product recommendations, and reduce shopping cart abandonment by simulating human-like interactions. The evolution of these AI systems from basic digital FAQ pages to sophisticated, voice-enabled assistants has been driven by advancements in machine learning and natural language generation, allowing for fluid, multi-turn conversations and a more inclusive shopping experience for diverse users, including visually impaired and elderly customers. Platforms like ElevenLabs facilitate the integration of these technologies by offering tools to create AI agents capable of handling complex transactions, providing multilingual support, and maintaining cross-channel memory, thereby reshaping retail with intelligent voice-enabled assistance. The implementation of such systems requires careful setup, including the configuration of voice characteristics, language models, and product data integration, but offers significant potential for businesses to create personalized, engaging, and accessible online shopping environments.