Potential of large language models in blockchain-based supply chain finance
Lei Yang, Qiaoming Hou, Zhu Xin, Lu Yang, Li Da Xu
Abstract
Supply chain financing can alleviate the financial constraints of small and medium-sized enterprises, blockchain can optimise supply chain financing strategies. The unique natural language processing capabilities of large language models have broad application prospects in supply chain financing decision-making. We innovatively introduce large language models to explore their application in blockchain-driven supply chain financing platforms. It is found that the excellent information processing capabilities of large language models significantly improves users’ financing efficiency. This study highlights the application potential of large language models and provides decision-making reference for managers.