Abstract: A method and system for measuring financial risk in logistics transactions is disclosed. Historical data from processing logistics transactions is reviewed with analysis tools to determine risk scores in key areas. The method may be updated for new components representing high risk in logistics and to refresh risk scores periodically. In embodiments, a module generates risk score results for a given client profile, which may include actual or estimated inputs for both activity levels and a control configuration. Control configuration inputs include not only the basic controls in place for risk mitigation, but also the data enhancements applied for every control as implemented by the client. The client data inputs originate from shippers, logistics service providers, financiers, auditors or other logistics ecosystem partners. The outputs include quantified risk score results in various formats, which may be accessed by computer, smart phone, tablet, mobile device, or via an Internet browser.