Case Study: Darnytsia achieves 10% revenue growth and 22% lower cloud costs with Nixtla’s TimeGPT AI forecasting engine

Darnytsia Transforms Forecasting Capabilities with TimeGPT Enhanced Accuracy Amid Uncertain Times

Darnytsia, Ukraine's largest pharmaceutical company, faced the immense challenge of maintaining operations and growth amidst wartime disruptions, which rendered its traditional forecasting models inadequate. Manual processes and inconsistent forecast accuracy were hindering inventory planning and strategic decision-making. To address this, the company turned to Nixtla and its TimeGPT AI forecasting engine.

Nixtla implemented TimeGPT, which provided Darnytsia with a scalable forecasting engine that integrated multiple data streams for accurate predictions. This solution delivered a 10% increase in revenue growth through better decision-making, a 22% reduction in cloud costs, and a 30x improvement in forecast generation speed, allowing for a faster response to volatile market conditions.

Darnytsia

Serhii Kolchyk

Head of Analytics and Digital Innovation