The Asian Development Bank reports that 74% of rejected trade finance transactions come from SMEs, and at least 36% of rejected trade finance may be fundable. This suggests that there is tremendous opportunity to address the underserved SME market, but how? In this white paper we discuss how artificial intelligence (AI) and machine learning (ML) can unlock value from the treasure trove of data trapped in the databases of traders, banks, logistics companies, and others that could – in combination with alternative data sources – be algorithmically predictive in guiding risk management to unlock SME finance.
With machine learning models trained using hundreds of billions of transaction data, Flowcast delivers a game-changing approach to credit decisioning for thin-file customers, empowering financial institutions to close the significant SME finance gap.
