Pre Sale Dialogue

Pre-sale dialogue research focuses on improving customer interactions before a purchase, aiming to enhance sales efficiency and customer satisfaction. Current research utilizes large language models (LLMs) and conversational recommender systems (CRSs), often combined, to create more engaging and informative interactions, with a focus on addressing user needs and providing personalized recommendations while mitigating potential biases. This field is significant for its potential to optimize sales processes, improve customer experience, and advance the development of robust and ethical conversational AI systems in e-commerce and other retail settings.