Using artificial intelligence in drug export management

Relevance. The article explores the potential applications of artificial intelligence technologies in managing the export activities of pharmaceutical companies. It examines the key directions of the digital transformation of the industry, including the use of machine learning algorithms, natural language processing, intelligent analytics, and predictive monitoring within the Pharma 4.0 framework. The aim of this study was to examine the using artificial intelligence to improve the management of pharmaceutical exports and to develop an objective system for assessing the export readiness of pharmaceutical companies. Material and methods. Special attention is given to the formation of integrated intelligent ecosystems that establish interconnections between the levels of Technological Readiness (TRL), Manufacturing Readiness (MRL), and Export Readiness (ERL) of enterprises. The development of the ERL concept has become one of the essential steps toward creating a universal system for measuring the maturity of export-oriented pharmaceutical companies. However, the practical implementation of this methodology requires tools capable of continuously collecting, processing, and interpreting data from various sources – from manufacturing and regulatory to financial and logistics. At this stage, artificial intelligence becomes a central element, transforming ERL assessment from a static audit into a dynamic monitoring process. Results. The introduction of AI-driven systems enables the transition from descriptive management models to predictive and prescriptive strategies, based on data analysis from corporate information systems and external regulatory databases. Conclusion. The article presents practical examples of AI applications for regulatory analytics automation, prediction of manufacturing deviations, optimization of pharmaceutical logistics, and assessment of reputational risks using open-source data. Particular emphasis is placed on data interoperability and standardization, which form the foundation for harmonizing national and international readiness assessment systems. The study demonstrates that artificial intelligence is becoming an integral component of the pharmaceutical export management system, enhancing the transparency, resilience, and global competitiveness of the Russian pharmaceutical industry.