eNews Archive

Mergers and acquisitions (M&As) can be transformative for businesses, often leading to greater efficiencies, market expansion and cost savings. However, for credit professionals, these transactions can introduce a range of complexities and risks. 

The American Industrial Revolution, spanning the late 18th and 19th centuries, marked a shift from manual labor to industrialization, leading to the rise of big businesses and the formation of monopolies. This era also gave birth to antitrust laws aimed at preventing businesses from gaining too much power.

Europe comprises a host of nations, each with its own unique economies, shaped by the industries that dominate their respective markets and their distinctive political bodies. Collectively, Europe’s economy represents a large share of international trade, meaning weaknesses in one country have the potential to send ripples across the world. 

With automation, artificial intelligence (AI) and ever-advancing technology dominating conversations in the business-to-business credit field, it is easy to forget the importance of soft skills, especially for new credit managers eager to ride the tech wave as they continuously enhance their technical skills.

When it comes to mitigating risk and protecting a business from potential losses, the success of any credit department hinges on the credit investigation. That first look into a customer to assess creditworthiness, and determine the appropriate terms of sale, is a crucial stage in your relationship with that customer.

The B2B credit industry is constantly evolving, driven by new policies, technology and vendor offerings. However, the sheer volume of information and change can be overwhelming, even for the most seasoned credit professionals.

NACM’s Credit Managers’ Index (CMI) fell 1.1 points to 53.0 in January. Though the CMI has fallen for the last two months, it remains on the side of expansion.

Bob Dylan famously sang, “You don’t need a weatherman to know which way the wind blows.” The market started the new year on a roller coaster, with the S&P 500 hitting an all-time high, then selling off on news of a fresh AI model from China. Many reacted by buying the dip in AI stocks, and the S&P 500 closed the month with a 2.7% gain. Mid-cap stocks outperformed their large-cap peers while small-cap continued to lag.