Methods and systems for assessing performance and risk in financing supply chain are disclosed. The method includes accessing a behavioral data of an entity. The behavioral data comprises at least one of a primary data and a secondary data. The primary data is associated with one or more assets of the entity and comprises historical transaction data of the entity with financial institutions. The secondary data is sourced from an external system and comprises at least a credit information and a business transaction information of the entity. The method also includes generating a unified model for the entity based on the behavioral data of the entity. The method includes predicting a plurality of risk metrics based on the unified model using one or more machine learning models, and determining a credit rating of the entity based on the plurality of risk metrics and a confidence measure.