How AI Will Transform Trade Finance
How AI Will Transform Trade Finance
Sean O'Malley
Created on Mar 28, 2023
Updated on Mar 28, 2023

There has been tremendous excitement over the last few months around the use of AI after the launch of chatbots powered by GPT (Generative Pre-trained Transformer) models. At BlueX, we believe the winners in trade finance will need to embrace these technologies to radically transform the automation and intelligence in delivering holistic trade finance products at a global scale.


Overall, AI GPT models can help automate many of the processes involved in trade finance, such as document verification and compliance checks. GPT models can also improve compliance, underwriting, and credit monitoring. All of these improvements will ultimately lead to financing that is delivered faster at a cost that is appropriate for the risk.

Increased Speed

Diving further into the benefits, AI GPT models in trade finance can help reduce the time and cost involved in document verification. For example, AI can quickly verify a document’s authenticity and flag any discrepancies, reducing the need for manual checks. This can help speed up the process of trade finance and reduce costs for lenders.


Another benefit of using AI GPT models in trade finance is that it can help improve compliance. AI can be programmed to check for compliance with regulations and flag any potential issues. This can help businesses avoid costly fines and penalties for non-compliance.

Underwriting & Risk Monitoring

In addition to these benefits, AI GPT models can also help improve underwriting in trade finance. Underwriting is the process of assessing the risk associated with a particular transaction. By analyzing data from various sources, GPT-powered models can help underwriters make more informed decisions about whether to approve or reject a particular transaction. For example, an AI bot could analyze data from a company’s financial statements, credit reports, and other sources to determine whether it is a good candidate for financing. The AI bot could then provide this information to an underwriter, who could use it to make a more informed decision about whether to approve the financing. Overall, the use of AI in trade finance has the potential to revolutionize the industry. By automating many of the processes involved in trade finance, businesses can reduce costs and improve efficiency. Additionally, AI solutions can help improve compliance and detect fraud more effectively. As AI technology continues to develop, we can expect to see even more innovative solutions emerge in this area.

At BlueX, we are using data science and AI to power our platform. Our goal is to make it easy for customers to provide the required documentation and receive a credit decision quickly. To achieve this goal, we have built risk models that leverage all of our unique and industry-specific data. By using the latest AI and machine learning technologies and innovative financial and supply chain data sources, we are creating a trade finance platform that is designed for the future.