Pharmaceutical, Healthcare
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
30x Faster Forecast Generation
Near-instant, highly accurate predictions across thousands of products, enabling rapid response to market changes
About Darnytsia Pharmaceutical
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
1,000+
Employees
180+
Products
32.8%
Revenue Growth
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
Serhii Kolchyk - Head of Analytics and Digital Innovation