Client Success Story
Darnytsia Pharmaceutical
How Darnytsia Boosted Growth by 10% & Cut Cloud Costs by 22% with Nixtla's TimeGPT AI Forecasting Engine, even during wartime disruptions
10%Growth in Revenue
Achieved through data-driven decision making and optimized inventory management, even during market volatility
22%Reduction in Cloud Costs
Significant infrastructure savings while improving forecasting performance and operational efficiency
30xFaster Forecast Generation
Near-instant, highly accurate predictions across thousands of products, enabling rapid response to market changes
Overview
Darnytsia is Ukraine's largest pharmaceutical company and a strategic pillar of the nation's healthcare system, with over 90 years of history, a portfolio of 180+ products in 15 dosage forms, and exports to 17+ countries
Despite the war, Darnytsia demonstrated remarkable resilience by maintaining uninterrupted production through the 2022 Russian conflict while growing revenues by 32.8% in 2023. The company's state-of-the-art facilities can produce over 4 billion tablets and 400 million ampoules annually, alongside tens of millions of vials of antibiotics and infusions
Internationally GMP-certified and expanding rapidly, Darnytsia has pivoted toward innovation, digitalization, and R&D to drive efficiency in a volatile environment. This forward-looking approach earned the company's Digital Transformation Director the "Best CIO 2023" award in Ukraine's Chemistry and Pharmaceuticals category
The Challenge
War created unprecedented challenges for Darnytsia, making traditional forecasting models inadequate and requiring new approaches to maintain operations and growth
- · Manual forecasting processes prone to error
- · Inconsistent forecast accuracy affecting inventory planning
- · Time-intensive data analysis limiting strategic decision-making
The Solution
TimeGPT gave Darnytsia a scalable forecasting engine built for uncertainty. It integrates multiple data streams to deliver fast, accurate forecasts even during unpredictable market disruptions
- · Implemented TimeGPT API for automated demand forecasting
- · Integrated with existing BI tools for seamless workflow
- · Deployed custom dashboards for real-time forecast monitoring
Our structured approach ensures a smooth transition to AI-powered forecasting
Implementation Timeline
[Month 1]
Discovery & Planning
Defined forecasting requirements and integrated TimeGPT API with existing systems
[Month 2]
Initial Deployment
Launched pilot program across key product categories with real-time monitoring
[Month 3]
Full Integration
Expanded implementation company-wide and trained teams on the new forecasting capabilities
[Month 4]
Optimization
Fine-tuned models based on performance data and implemented advanced feature utilization
Immediate and long-term strategic value
Business Outcomes
[01]
Operational Excellence
- 10x efficiency improvement in forecasting speed
- 22% reduction in cloud computing costs
[02]
Financial Impact
- 10% revenue growth through better decision-making
- Optimized inventory reducing carrying costs
[03]
Strategic Advantage
- Faster response to market changes
- Improved competitive positioning in volatile environments
TimeGPT's forecasting accuracy and speed transformed our operations. We've reduced stockouts while simultaneously decreasing inventory costs – a winning combination we hadn't achieved with previous solutions like statistical models (e.g., Auto ARIMA) and ML algorithms like Facebook Prophet
Head of Analytics and Digital Innovation