摘要
Abstract
This paper proposes a digital-credit supply chain finance model that leverages artificial intelligence(AI)and industrial data elements.Using data collection,AI-driven analysis,and trend fore-casting,the model rebuilds the credit evaluation system,breaks information silos along the industrial chain,streamlines business processes,and strengthens risk management.With aquaculture as a case scenario,it tackles financing bottlenecks-including a fragmented client base,poor data quality,and high fraud exposure.The model delivers end-to-end online financing,intelligent risk control,and blockchain-based attestation,fostering deeper integration between the industrial and financial sides and offering efficient,targeted financial support to the real economy.关键词
人工智能/数字信用/供应链金融/产业数据要素Key words
AI/Digital Credit/Supply Chain Finance/Industrial Data Elements分类
管理科学
