April 10, 2025

In business-to-business (B2B) credit management, the sheer volume of data—from financials and payment histories to market trends—can overwhelm teams. Data automation and Robotic Process Automation (RPA) can transform these tasks, rapidly processing and analyzing critical information. By cutting down manual work, these tools enable faster, more accurate credit decisions while minimizing risk, making credit management smarter and more efficient. 

President Trump’s trade war is officially on. However, in an extraordinary reversal just hours after they were set to go into effect, the President delayed the implementation of extremely harsh reciprocal tariffs on over 60 countries. That leaves in place the April 4th 10% across-the-board tariffs but gives the world time to breathe and react.

Economic turmoil is straining cash flow for many businesses, while market instability continues to rise. In this climate, economic forecasts that provide perspectives into the health of the B2B world are increasingly valuable, as credit professionals rely on this information to anticipate and mitigate potential risks.

Economic uncertainty complicates the work of credit managers. As the changing tides of the economy become unpredictable, risk increases. Credit managers across industries have seen volatility in pricing, as wide-reaching economic uncertainties like tariffs, trade wars and supply chain issues send ripples across the economy. While price fluctuations are somewhat of a constant in the ever-changing world of business credit, it can still be difficult to predict and even harder to navigate.