Case Study: Karl Mayer achieves more accurate cash flow forecasting with Nomentia

Karl Mayer - Customer Case Study

Karl Mayer, an international textile machinery manufacturing group, faced significant challenges in cash flow forecasting at the onset of the global pandemic. The crisis created a volatile, unpredictable environment for incoming orders, making their existing manual planning processes inefficient and lacking in the short-term visibility needed to navigate the economic uncertainty.

Nomentia implemented its AI-powered Cash Flow Forecasting software to automate the process. Despite the complexity of Karl Mayer's project-based B2B payments, Nomentia's data scientists developed a custom method to handle outliers and seasonal trends. The solution resulted in forecasts that were more accurate than the previous manual methods, achieving a 94.5% accuracy rate for long-term predictions, while also delivering massive time savings for the treasury team.

Karl Mayer

Sven Erik Ebel

Vice President Treasury and Credit Management