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Customer story

Cash flow forecasting

Cash visibility

GG Group

From Excel-based forecasting to scalable liquidity management in a globally growing company

Gebauer&Griller-gg-group-logo

 

Founded

1940

Industry

Automotive and Industrial Applications

About

GG Group is a leading manufacturer of cables, wires, and cable assemblies for the automotive industry as well as specialized industrial applications.

GG Group is a family-owned global industrial company focused on energy and data transmission solutions for automotive and industrial applications.

Over the past few years, the Group has grown into a global organization with 13 locations across three continents. Operating throughout Europe, the Americas, and Asia, GG Group employs approximately 4,000 people and generated revenue of €668 million in FY 2025/26.

 

The challenge: Maintaining transparent forecasts as the amount of entities doubles 

As the Group continued to expand, the demands on Group Treasury increased significantly. Forecasting was originally carried out using an internally developed Excel tool. However, with growing internationalization and the integration of additional sites, treasury processes became increasingly complex. At the same time, the limited degree of automation in Excel made it difficult to provide timely and decision-relevant financial information efficiently.

“With every new location, we had to incorporate additional banks and currencies and continuously adapt and expand our existing Excel forecast. These adjustments were complex and required considerable effort. At that point, it became clear that we had reached the limits of Excel-based planning.” 

– Markus Stellner, Group Treasury, GG Group 

Onboarding new subsidiaries and mapping new intercompany payment flows proved difficult and required significant effort within Excel. Against the backdrop of an increasingly volatile automotive market environment, the company decided to digitalize its cash flow forecasting processes to sustainably improve transparency and control.

 

The solution: A dedicated platform instead of a full treasury management system

For this reason, GG Group decided in 2019 to implement a specialized software solution. The initial focus was on cash flow forecasting, particularly with the objective of creating rolling forecasts for both internal and external reporting.

In addition to its powerful functionality, Nomentia’s high level of modularity was a key factor in the decision-making process. Since GG Group was not looking for a comprehensive Treasury Management System (TMS), but rather the best possible solution for cash flow forecasting, Nomentia proved to be the optimal choice.

“Forecasting has always been, and continues to be, a strategically important topic for us. Nomentia simply offers the best way to manage and optimize this process.”

– Michael Schmid, Director Group Treasury, GG Group

Using Nomentia Liquidity Management, the company now produces a daily cash position report and a monthly rolling liquidity forecast.

For the daily cash position report, Nomentia automatically imports current bank balances every morning at 10:30 a.m., enabling Group Treasury to generate the report with just a few clicks.

“Thanks to Nomentia, we have a complete cash overview available at the push of a button. The concise presentation of information has significantly simplified our weekly reporting to executive management.”

– Markus Stellner, Group Treasury, GG Group

For liquidity forecasting, relevant data is imported automatically from the ERP system each month. This includes expected inflows, metal payments, and accounts payable for the respective planning period. In addition, planned investments for the upcoming twelve months are incorporated into the forecast.

Individual subsidiaries prepare their forecasts independently, after which Group Treasury analyzes the data at the consolidated level and identifies potential optimization opportunities.

 

The results after six years of Nomentia: GG Group’s experience

After six years of using Nomentia, GG Group reports the following benefits:

  • Clean data and improved forecast accuracy: Eliminating manual forecasting steps, such as typing or copying values, has significantly improved the quality and accuracy of liquidity forecasts.
  • Faster response times: Whether changes arise in the market environment or within the company structure, Nomentia enables GG Group to react quickly to new requirements.
  • Effortless scalability: Whether introducing new financing arrangements, adding bank accounts, or integrating additional legal entities, GG Group can now scale its treasury processes flexibly and efficiently. The limitations of manual Excel-based processes are now a thing of the past.
  • Flexible administration: Group Treasury independently manages the structure, setup, and user access rights within the Nomentia platform.
“As an administrator, I can make changes myself with just a few clicks, such as expanding planning categories, creating a new entity with a new currency, or adjusting user access rights."

– Markus Stellner, Group Treasury, GG Group
  • Data security and compliance: Clearly defined access rights and secure cloud hosting ensure that data is always available, protected, and accessible only to authorized users.
  • Flexible scenario planning: With Nomentia, GG Group can now simulate different liquidity scenarios with just a few clicks. This provides additional security in the highly volatile automotive market, both for the company itself and for its external stakeholders.
  • AI-powered forecasting as the next step: The consistent data foundation built over several years now creates the basis for the future use of artificial intelligence. For GG Group, this represents the next step in the evolution of its cash flow forecasting capabilities.

“Nomentia impresses us not only with the quality of its solution but also with its outstanding support. Requests are handled quickly and reliably, and even complex issues are addressed with expert guidance whenever needed.”

– Markus Stellner, Group Treasury, GG Group

 

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