Optimizing Conversational Commerce Involving Multilingual Consumers Through Large Language Models’ Natural Language Understanding Abilities

• Main Authors: Ilagan, Joseph Benjamin R, Ilagan, Jose Ramon, Zulueta, Pia Ysabel, Rodrigo, Ma. Mercedes T.
• Format: text
• Published: Archīum Ateneo 2024
• Subjects: Co-pilots; conversational commerce; Conversational user experience; Generative AI; Large language models; Named entity recognition; Natural language understanding; Artificial Intelligence and Robotics; Computer Sciences; Databases and Information Systems; Physical Sciences and Mathematics
• Online Access: https://archium.ateneo.edu/qmit-faculty-pubs/27; https://doi.org/10.1007/978-3-031-60615-1_4
• Institution: Ateneo De Manila University

Due to the emergence of natural language processing (NLP) interfaces, there has been growing intent to use conversational channels for commerce. Beyond customer service, NLP-enabled AI agents are being integrated into various steps of the order-to-cash (OTC) process. Social media and messaging platf...