Case Study: Voltava achieves scalable AI-powered treasury forecasting with Kyriba Liquidity Planning

Voltava cuts monthly forecasting time from 8 hours to 30 minutes with Kyriba

Voltava, an automotive manufacturer formed through the combination of several companies, required a scalable treasury foundation to support its significant growth. Their challenge was to move away from a tedious, manual forecasting process to build a more connected and efficient treasury operation. To address this, they turned to vendor Kyriba and its Liquidity Planning service.

The solution implemented by Kyriba involved creating a centralized data foundation that connected bank statements, ERP data, and historical information. This allowed Voltava to translate its existing Excel forecasting logic into Kyriba's AI-powered tools, which use machine learning to generate forecasts. The results were significant, with Kyriba reducing a monthly forecasting process that previously took eight hours down to just 30 minutes, saving considerable time and allowing the treasury team to focus on analysis and collaboration.

Voltava