Three Ways to Master the Art of Credit Risk Mitigation: Insights from Five Leading Credit Groups
What you’ll learn
- Portfolio risk management is an important success factor in an organization’s ability to deliver more business value and mitigate risk.
- Monitoring of performance metrics gives you insights into your operational efficiency and helps you identify areas of improvement.
- Leveraging technology that contains Artificial Intelligence (AI), Machine Learning (ML), and deep neural networking capability for more accurate credit scoring is vital for mitigating credit risk.
Introduction
With changing economic conditions, the threshold for risk tolerance is also changing. Adopting and modifying existing risk mitigation strategies is important for maintaining steady cash flow and creating a significant working capital impact in the CFO’s office. This blog contains key insights on credit risk mitigation strategies from leading credit groups, such as Experian, CreditSafe, CreditRiskMonitor, Credit.net, and S&P Global. These suggestions regarding modifying your native credit policies will help you stay abreast of the changing risk classes and stay ahead of lending out bad debt.
Three Critical Risk Mitigation Trends, Shared by Renowned Credit Leaders
Adopting Portfolio Risk Monitoring of Your Customers –
Portfolio risk management is an important success factor in an organization’s ability to deliver more business value and mitigate risk. The portfolio risk monitoring strategy involves identifying, assessing, measuring, and managing risk within the customer’s portfolio.
Monitoring Performance Metrics Regularly-
Continuous monitoring of the aforementioned metrics gives you a bird’s eye view of your performance and operational efficiency and gives you actionable data for you to focus on and make improvements.
Adopting Digitalization to Streamline Credit Operations-
12% of organizations’ total revenue is being dedicated to digital initiatives – Gartner.
Technology plays a vital role in building an agile credit function. A/R executives should look forward to implementing digital transformation initiatives to help their team create strategic value in the office of the CFO.
Conclusion
According to a recent Gartner Risk Leadership Council survey, 66 % of organizations surveyed globally are pursuing some form of digital transformation. Several leading credit teams undertake this initiative to deploy risk management tactics and identify new and emerging risks, especially in the credit space.
Choosing the right credit management system is important to mitigate credit risk. In the US, about 97% of B2B transactions are made on credit. Mentioned below are six key parameters to consider when choosing a credit application to help A/R teams reduce the bad debt by 20%.
HighRadius Credit Software automates the credit management process, enabling credit managers to make highly-accurate credit decisions 2X faster and enable faster customer onboarding with 4 primary components: configurable online credit application, customizable credit scoring engines, credit agency data aggregation engine, and collaborative credit management workflow. Along with that, there are a lot of key features that should definitely be explored some of which are online credit application, credit information aggregation, automated credit scoring & risk assessment, credit management workflows, approval workflows, and automated bank & trade reference checks. The result is faster customer onboarding, better internal collaboration, higher customer satisfaction, more targeted periodic reviews, and lower credit risk across the company’s customer portfolio.
