In order to determine credit limit, period, and interest rate, determining the financial risk of a customer is important in commodity markets. Measuring credit risk scores with high consistency is essential to maximize total profit from the credits in commodity market such as agricultural loans.

AI-driven models calculate the credit risk scores of customers using income potential from commodities, past payment performance and demographic information. AI-driven model will identify the customers who have a similar profile. Accurate credit scores lead to maximize the profit from credits.