Category: Credit Risk Management

A low DSO does not automatically mean that your cash flow is under control. Averages hide structural problems such as disputes, poor master data, late invoicing, and risky payment agreements. In this article, you can read about the 12 silent and active DSO killers that undermine your working capital and how to tackle them. By focusing on root causes, lead times, and risk throughout the entire order-to-cash chain, you can structurally reduce your DSO without having to make more calls.

Credit management is changing rapidly: from collecting invoices to strategic customer management. Marverick van de Beeten (MaxCredible) explains how data, AI, and human empathy work together to ensure predictable cash flow and stronger customer relationships. Discover how technology is transforming the profession.

Successful organizations no longer make decisions based on gut feeling, but on data. With real-time insights and automated processes, trade credit risk management becomes faster, smarter, and more consistent. Discover how integrated decision-making in CRM and ERP systems reduces risks and increases growth opportunities.

“No news is good news” sounds reassuring, but in credit risk, silence can mean just the opposite. The absence of signals often does not mean that nothing is going on, but that you cannot see it. In this blog, you can read how silence can be misleading, which risks remain undetected as a result, and why up-to-date data and monitoring are indispensable for preventing surprises.

Doing business internationally involves risks, especially in the event of bankruptcy. But that is about to change. Thanks to a new EU agreement, creditors will have more control over cross-border insolvencies. What exactly has been agreed and why is this already relevant for your risk analysis?

Trade credit risk is becoming more difficult to manage due to rising bankruptcies, geopolitical risks, interest rate volatility, data scarcity, and ESG requirements. Companies need to respond to risks faster and smarter with integrated data, customized scoring models, and automation. Only then can they remain financially resilient in a more complex trading landscape.

An Early Warning System (EWS) helps companies identify payment risks early. Where it is mandatory for banks, it also offers great benefits in B2B environments: better risk management, faster decision-making and more stable cash flow. Especially in an unstable economy, actively monitoring customers is crucial to avoid surprises.

A retro analysis of your customer base helps identify financial risks by examining payment behavior and company characteristics. By combining data such as industry, company size and financial metrics, you gain insight into which customers are causing payment problems. These insights enable you to improve your credit policies and screening processes, identify risks early and adjust payment terms. So you better protect your organization from losses and make smart, data-driven financial decisions.