A PREDICTIVE MANAGEMENT MODEL FOR THE REGIONAL AGRO-INDUSTRIAL COMPLEX IN THE CONTEXT OF DIGITALIZATION (USING THE EXAMPLE OF THE REPUBLIC OF SAKHA (YAKUTIA)

DOI 10.32651/264-58

Issue № 4, 2026, article № 7, pages 58-66

Section: DIGITALIZATION IN THE AGRO-INDUSTRIAL COMPLEX

Language: Russian

Original language title: МОДЕЛЬ ПРЕДИКТИВНОГО УПРАВЛЕНИЯ АГРОПРОМЫШЛЕННЫМ КОМПЛЕКСОМ РЕГИОНА В УСЛОВИЯХ ЦИФРОВИЗАЦИИ (НА ПРИМЕРЕ РЕСПУБЛИКИ САХА (ЯКУТИЯ)

Keywords: REPUBLIC OF SAKHA (YAKUTIA), AGRICULTURE, DIGITAL TRANSFORMATION, AGRO-INDUSTRIAL COMPLEX MANAGEMENT, PREDICTIVE MANAGEMENT, TECHNOLOGICAL MAPS, PRODUCTION COSTS

Abstract: The article analyzes the systemic problems of agriculture in the Republic of Sakha (Yakutia), including a decline in production volumes, a crisis in livestock farming, low efficiency of state support, and a steady outflow of the rural population. It has been established that these interconnected trends create a vicious cycle that weakens the agricultural sector and rural social spheres. As a solution, the authors propose a model for digitally transforming the management of the region's agro-industrial complex (AIC). The model is based on a transition from traditional reactive management to a proactive predictive system utilizing big data and artificial intelligence. The key practical tool for implementing this model is the development of a digital platform based on process maps adapted to Yakutia's conditions. The platform should include modules for automated cost calculation, predictive analytics, and scenario planning, which will optimize resources, improve the validity of decisions, and create a foundation for sustainable development of the industry.

Authors: Protopopova Liubov Danilovna, Vasilev Nikolai Petrovich, Krylova Akulina Nikolaevna, Nikitina Nadezhda Nikolaevna