No 3 (2025)

the characteristics of integrated marketing communications in different countries have aroused the curiosity of both scientists, analysts and experts. These differences are profound, and they are evident not only in the instruments used by different regions, but also in the instruments used by neighboring countries. The course of action is strongly influenced by the cultural norms and values prevailing in a given country. The success of a company operating in the United States is inextricably linked to its marketing communications strategy. In fact, the foundation of a thriving business is not its registration, but the proper use of marketing tools. Both in the United States and in Russia, a lot of literature has been published on marketing practices. In the United States, the importance of marketing is often considered more significant than the product or service offered by the company itself. The failures of many unsuccessful companies can be attributed to a lack of understanding and insufficient investment in marketing efforts. Unfortunately, it is a common misconception among business owners to allocate the remaining funds for marketing communications, even if they are included in the business plan. This approach is fundamentally wrong and may eventually lead to the decline of the company. It is much more reasonable to prioritize marketing expenses rather than dealing with the consequences of overstocking unsold goods or forcibly closing an office or store. It is extremely important to recognize that the Western market differs significantly from the Russian one, and many people do not understand this fact.

the study analyzes the dynamics of the Russian mortgage market in 2024 and its impact on housing prices from developers. Based on data from the Central Bank of the Russian Federation, the Ministry of Construction and DOM.RF for the first half of 2024, key trends were identified: an 18% increase in the volume of mortgages issued, a decrease in the average weighted rate to 8.3%, and an acceleration in price growth for new buildings to 12%. The research methods included a comparative analysis of statistics, regression models for assessing the correlation between rates and prices, and predictive modeling. It was found that preferential programs (for example, "Family Mortgage") provided up to 60% of demand for new buildings, but at the same time stimulated price growth by 8-12%, creating an "overheating effect" of the market. Significant regional differences were revealed: in the Far Eastern Federal District, prices grew by 10-12% due to state support, while in Moscow, growth slowed to 4% due to demand saturation. Trends in the second half of 2024 indicate risks of reduced housing affordability due to the tightening of the maximum debt burden (MDB) to 60% and the reduction of preferential quotas. The results of the study can be used to adjust government programs and developer strategies. Key conclusion: the balance between credit availability and price control requires a differentiated approach to the regions and increased regulation in the economy class segment. Reducing preferential mortgages is a targeted financial mechanism that reduces inflationary pressure by limiting demand, but at the same time provokes stagnation in the primary apartment housing market through falling sales, leading to a reduction in active construction, an increase in the number of unfinished projects and a deterioration in the financial condition of developers.

the aim of the work is to develop a methodology for improving the competitiveness of a service enterprise through a customer-oriented approach. The object of the study is the competitiveness of a service industry enterprise. The subject of the study is the methods of customer orientation of a service industry enterprise. The paper explores approaches and methods of competitiveness formation due to customer orientation in the works of Russian and foreign authors of different years. In the course of the theoretical analysis, the content of the concept of "competitiveness" was supplemented, and conclusions were drawn about the insufficient elaboration of a client-oriented approach in the most relevant studies on the competitiveness of service enterprises. The article develops a methodology for improving the competitiveness of a service sector enterprise by focusing on the customer. The methodology involves implementing five stages with their own tasks and evaluation criteria to increase demand for services, followed by comparing the results achieved with the basic values of the main indicators. In conclusion, it is concluded that this technique can be most useful for enterprises where there is the closest connection between the consumer and the enterprise and there is feedback.

the purpose of the article is to develop a model of multimodal freight transportation in order to optimize the functioning of the international transport corridor. Methodology. The methodology of this article is based on theoretical and practical approaches formed within the framework of the theory of transport flow. To achieve the goal, the work used the method of mathematical modeling and the method of representing transport flows based on graph theory. Results. The author proposed a model of transportation activity, based on the variable possibilities of solving the transport task, aimed at optimizing the process of multimodal cargo transportation. The matrix approach proposed by the author makes it possible to increase the efficiency of analytical activities in the field of logistics, connected with the organization of multimodal transportation, allows to create electronic tables that, when entering the necessary parameters, in an automated mode, solve tasks related to the need to find the most efficient option for cargo transportation. Conclusions. The approach proposed in this article is distinguished by its simplicity, in fact, each transport organization has the ability to independently create the necessary information system for the logistics management of cargo transportation with minimal expenditure of financial and time resources.

the purpose of the work is to identify and compare current trends in the socio–economic and innovative development of Russian extractive industries. Methods: comparative analysis, synthesis, grouping. Findings: this article evaluates the contribution of the extractive industry to the economy of the Russian Federation, analyzes key parameters of socio-economic and innovative development of industry enterprises, compares them, identifies current trends, hypotheses are put forward and proves the existence of synchronous changes in economic characteristics and indicators of innovation activity in the Russian Federation. A set of mining companies is identified, problematic and promising areas of innovation activity are identified. Conclusions: the identified trends in socio-economic and innovative development indicators, the presence of interrelations in the dynamics of their change, the identification and grouping of current industry problems is of strategic importance, given the role of the extractive industry in the national economy, ensuring security and technological sovereignty of Russia in the face of new challenges.

the aim of the study is to analyze the technology of development and the model of adoption of strategic management decisions. Methods: the methods used in the presented study are economic methods of assortment, competitive, resource and investment analysis, the monographic method and the comparison method. Findings: the study developed a technology for developing strategic management decisions, identified and presented the qualities of a key performance indicator, demonstrated technologies for strategic decisions, and developed a model for making strategic management decisions. Conclusions: the technology of developing a strategic management decision is based on the definition of strategic interests underlying the development of a company's strategy; the qualities of a key performance indicator include measurability, comparability and consistency; when choosing strategic technologies, a diagnosis of the external and internal environment is carried out, as well as the selection of competitive positions and resource potential; the model for making strategic decisions includes decisions on the range of products (goods), decisions on pricing, decisions on business restructuring and decisions on capital investments.

the aim of this study is to develop a methodological framework for analyzing the innovation potential of regions, assessed based on the effectiveness of implementing innovation policy. Methods: the study is based on a comprehensive methodological approach, including statistical data analysis, the use of expert assessments, rating systems, and data clustering. Additionally, a comparative analysis method is applied to gain a detailed understanding of innovation activity in regions with varying levels of development, providing deeper insights into innovation processes. Results: a system-oriented methodology has been developed, allowing the assessment of the level of innovation development in regions (IDR) through the effectiveness of implementing innovation strategies and taking into account the dynamics of socio-economic indicators. Conclusions: the development and testing of methodological tools for assessing innovation development at regional and federal levels are considered necessary to achieve strategic goals in the field of innovation. Updating the scientific and methodological base of strategic planning contributes to improving the effectiveness of innovation policies and enhancing the forecasting of socio-economic effects.

the aim of the study is to develop a methodological basis for a comprehensive assessment of the innovation potential of regions. Methods: the study uses multi-level analytical methods to assess the current state and effectiveness of innovation processes, taking into account integral indicators related to both the resource base and the effectiveness and readiness of the region for innovation. Findings: the work proposes a classification of approaches to interpreting the concept of the innovation potential of regions, formulates a unified definition and details the structure of this concept. Delineates the critical stages involved in an in-depth evaluation methodology, incorporating the creation of a comprehensive system and algorithm to compute key metrics. This approach facilitates the structured analysis of metrics pertinent to innovation activities. Conclusions: this research provides a foundational approach for shaping strategies that bolster the innovative potential of various regions, outlines priorities for government support, and assesses the impact of policy actions within the innovation arena.

the purpose of the study is to substantiate methodological approaches to the formation of a combined import substitution strategy for Russian industrial enterprises. Methods: the study of the formation of a combined import substitution strategy for Russian industrial enterprises is based on the integration of qualitative and quantitative methods of analysis. The qualitative component includes an assessment of government initiatives, industry reviews and programs aimed at stimulating import substitution. The quantitative component involves the use of statistical data and models to assess the effect of the measures taken. The use of such a combined approach helps to increase the accuracy of the analysis and strengthens the validity of conclusions and recommendations, which allows for more effective application of the research results in practice. Findings: in the course of the work, key elements of the formation of an import substitution strategy for Russian enterprises were identified, and it was shown that the strategy should be considered as an integration of a number of strategic actions aimed at adapting typical corporate models to the conditions of import substitution. Practical recommendations have been developed aimed at the effective implementation of a combined strategy in the structure of Russian industrial organizations, taking into account the specifics of their industry context. Conclusions: The importance of applying a combined strategic approach to the import substitution process for Russian enterprises has been confirmed. In the context of the current economic changes in the Russian Federation, organizations of all forms of ownership need to actively develop strategic thinking, as well as use strategic analysis and evaluation methods to increase sustainability and competitiveness in a changing market environment.

the purpose of this study is to substantiate the importance of innovative import substitution in the framework of industrial policy strategies. Methods. the study is based on the application of methods of logical analysis and synthesis of various economic theories. This approach allowed us to conduct a comprehensive analysis of key areas of industrial development, including export-oriented models, technological innovations and import substitution. Particular attention is paid to the role of innovative import substitution in the system of strategic economic planning. Findings: the study allowed us to identify three main interpretations of the concept of import substitution: it can be considered as an economic concept, an instrument of public policy and a factor in the development of industrial production. The study showed that the strategy in question has a dual nature. On the one hand, it promotes integration into global economic processes and stimulates production growth. On the other hand, it performs a protective function, limiting the influence of external factors and strengthening the domestic market. The concept of innovative import substitution, which involves combining modernization with an increase in competitive advantages, was also considered in detail. Conclusions: the need to strengthen the import substitution policy is becoming increasingly obvious. The main goal is to create favorable conditions for increasing demand for domestically produced goods by reducing dependence on external supplies. Such an approach opens up opportunities for the development of promising industries and strengthening the positions of manufacturers at the international level. A key role is played by the introduction of innovative import substitution based on technological progress and increased efficiency of the industrial sector.

the objective of this study is to categorize and evaluate prevailing scholarly methods for determining the competitiveness of industrial entities within the framework of import substitution strategies. Methods: the research utilizes a comprehensive approach to investigate the assessment techniques of competitiveness among firms operating in regions engaged in import substitution policies; it further employs a detailed comparative analysis to explore various computational models used in evaluating business competitiveness. Results: the document provides a detailed critical evaluation of the existing methodological frameworks, highlights their analytical strengths and weaknesses, and discusses the constraints on their applicability in the current economic environment. Conclusions: It has been established that most of the methodological approaches used are abstract and do not take into account external factors of the economic environment, which significantly reduces the relevance of the assessment results in the context of import substitution policy. The validity of the application of the original methodology based on the calculation of the integral deviation of the real parameters of the competitiveness of the enterprise from the theoretically optimal indicators is substantiated.

the purpose of the article is to study the integration of artificial intelligence in supply chains and its impact on supply chains, using the example of the chemical industry. The application of artificial intelligence tools has become the main basis for the development of modern approaches to resource management, improvement of logistics routes, and warehouse operations. The article substantiates the important issues in the distribution sector concerning the improvement and automation of routine operations in supply chains, as it is possible to significantly reduce costs and time due to modern technologies. Methods: in the process of research the method of theoretical review was used, which allows to study the specifics of the formation of supply chains at the present stage. The method of analysis and statistics allowed us to study the dynamics of the chemical industry in Russia for the last 2022-2024 years. Using the method of generalization, conclusions are drawn concerning the effectiveness of the proposed optimization mechanism. The results contain a description of the supply chain optimization model to be used on the basis of artificial intelligence tools in the chemical industry. An integrated approach to supply chain management helps to identify weaknesses and generalize the available optimization techniques. The economic efficiency from the implementation of the proposed model is also calculated. Conclusions: a general conclusion is presented on the importance of artificial intelligence in the logistics sector as the main technology enabling optimal development of the chemical industry within the framework of improving the competitiveness of the country. The identified technological capabilities of artificial intelligence in terms of forecasting, big data analysis and inventory management allow planning and monitoring the process of the entire supply chain.

the article examines the concept of innovation clusters as key elements of economic development in the context of globalization and technological revolution. Special attention is paid to the examples of successful innovation clusters, such as Silicon Valley in the USA, Technopark in China and Skolkovo in Russia, as well as the benefits of cluster integration for different subjects of economic relations: regions, businesses and universities. Using the example of the Vladimir region, the author proposed key directions for the creation and development of an innovation cluster, including the improvement of the scientific and educational base, creation of a favorable investment environment, development of infrastructure for startups and small companies, as well as active interaction between local authorities and business. Special attention is paid to the need to develop interregional and international cooperation, as well as to the introduction of innovative technologies in industry. The conclusion emphasizes the importance of state regulation and identifies the problems and prospects for the development of innovation clusters, including taking into account the global trends of digitalization, sustainable development and globalization.

this scientific article discusses methods aimed at optimizing the management of raw material reserves at oil refineries in conditions of price uncertainty. The approaches, including statistical forecasting, dynamic programming, and efficient supply chain organization, are analyzed. Attention is drawn to the importance of digital technologies for automating procurement processes and inventory management. Materials and methods: the research use publications by Russian scientists, including articles from peer-reviewed journals related to this topic. The reliability of the data is ensured by the use of statistical methods that allow for an in-depth analysis of the phenomenon under study. The results of the study demonstrated that strategic planning of crude oil inventories in conditions of price volatility is critically important for the stable operation of oil refineries. To classify goods by profitability, the ABC analysis method is used, which divides products into three categories: 20% of goods that generate 80% of revenue (Group A), 30% of goods that generate 15% of revenue (Group B), and 50% of goods that generate 5% of revenue (Group C). Conclusion: the conducted analysis demonstrated the positive impact of the modernized raw material reserves management system of oil refineries on the economic performance of production in conditions of market price volatility. Modernization of material flow control methods will significantly minimize production risks and optimize the adaptation mechanisms of enterprises to dynamically changing market conditions.

the purpose of the article is to analyze the process of managerial decision-making in entrepreneurial structures. At the current stage of economic development and digitalization of data, competition is growing, which means that management decisions in entrepreneurship face the need to develop competent and effective approaches. Analysis of processes in decision management allows us to identify the main factors that will affect the optimization of business and its further development. In the process of work, methodological concepts describing the stages of formation and practical realization of decisions in the system of information management were studied. The authors also presented a model of innovative technology of the process of development and adoption of managerial decisions in entrepreneurial structures. The methods used in the work include theoretical analysis of literature sources, the method of describing the process of managerial decisions, as well as the method of analysis and deduction. In addition, the method of generalization of the obtained results was applied. The results of the study contain general conclusions regarding the fact that the field of entrepreneurship is developing and competent decision management is of great importance. In this regard, there is a need to change approaches to the development of management decisions with the help of digital technologies. In the entrepreneurial sphere, the mechanism of formation and realization of managerial decisions is an important aspect that contributes to the achievement of high economic performance. The findings describe the fact that the process of making managerial decisions in entrepreneurial structures is associated with the need to improve management efficiency, adapt to changes in the external environment and implement innovative approaches and digital solutions in business practice.

modern software for the implementation of digital marketing strategy tasks is actively developing, taking into account new trends in the organization of marketing activities of enterprises, organizations and institutions of all forms of ownership and business sectors. The software is based on next-generation technologies and represents elements of artificial intelligence. The purpose of the study is to examine the specifics of the development of a digital marketing strategy and the impact of artificial intelligence on its development. The use of artificial intelligence technologies in marketing is quite popular when creating personalized offers for customers in the market of goods and services based on the results of marketing research and evaluation of the average purchase receipt and consumer behavior on the Internet and on social networks. The developed modern machine learning algorithms interact with innovative technologies and are able to analyze purchase history, search queries and even social media to form personal offers that best meet the needs, tastes, interests and needs of an individual customer. The listed advantages of using artificial intelligence technologies in the formation of a digital marketing strategy allow us to identify important strategic vectors based on the results of marketing research and consumer behavior assessment. Marketing service marketers should systematically improve their professional skills to work with innovative technologies and develop competencies to develop organizational and digital culture to bridge the digital divide and enhance digital maturity.

the presented article substantiates the importance of considering the key factors influencing the development of tourism and cultural heritage. Such factors include: innovations, values, pricing policy, throughput capacity of the research facility, tourism management. Of course, the factors of both the near and far environment should also be taken into account. Their role in the field of tourism development is great. All the variety of factors has an impact on the usual way of life, which reflects the tourist trends. The recommendations developed should be taken into account by both management structures, the business environment and local communities. The combined efforts will contribute to the formation of new directions in the field of tourism and cultural heritage development and will determine the prospects for further research in the chosen direction.

this article analyzes the impact of digitalization on the transformation of business processes in the postal industry of the Baikal Region. Particular attention is paid to the contribution of these transformations to the economic development of the region. The analysis is conducted in the context of the unique socio-economic conditions of the Baikal Region. A review of scientific publications and research was conducted to identify key trends and practices. The main implemented management systems and software solutions that contribute to the improvement and optimization of internal business processes in the postal industry were identified. Special attention is paid to changes in the field of customer interaction and the provision of public services caused by the active introduction of digital technologies. The implemented projects aimed at integrating electronic services and document management systems, including electronic registered letters and hybrid mail, were examinet. As part of the study, an assessment was made of the impact of digitalization on the quality and speed of service, as well as the expansion of the range of services provided. An analysis of the dynamics of the average number of employees in the postal industry in the region was carried out. A steady increase in the volume of postal items in the region caused by the digital transformation of the industry was revealed. The results of the study demonstrate that digitalization is a key factor in the transformation of the postal industry in the Baikal Region, significantly affecting various aspects of its activities. The introduction of modern technologies not only increases the efficiency of internal processes, but also contributes to improving the quality of customer service, expanding the range of services provided, and stimulating the economic growth of the region. This study contributes to the understanding of the processes of digital transformation in the postal industry and their impact on the regional economy.

in conditions of instability of both the agricultural sector in general and the agro-industrial sector in particular, the financial stability of this type of enterprise is a key factor for survival. Climatic conditions, demographic problems, sanctions, political and economic factors – all this creates instability of toffee for agricultural enterprises. By assessing financial stability, it is possible to calculate potential financial risks and vulnerabilities in an enterprise's economic activity, understand its ability to withstand modern challenges and difficulties, manage available resources and attract investments, plan a budget and make appropriate financial decisions – all this contributes to effective enterprise management. LLC “Agrotech-Garant”, Alekseevsky, Alekseevsky district, Belgorod region, demonstrates stability, but a deeper analysis can reveal hidden reserves (such as underestimation of the value of its own assets; insufficient accounting for working capital - finished products, stocks or raw materials; unformulated reserves for future unplanned expenses) and risks (market, weather, financial), because planning, risk management, reserve formation and making informed financial decisions will help even a stable enterprise to ensure further sustainability and successful long-term development. This article is aimed at addressing this issue.

the purpose of the study is to develop a methodology and tools for assessing the impact of digital transformation and business model adaptation on business competitiveness. Methods: the study employed a systems approach, comparative analysis, and methods of analysis and synthesis. For analyzing theoretical approaches to business models and digital transformation, methods of systematization and generalization were used. Empirical analysis included case studies utilizing content analysis and comparative analysis. The development of the digital transformation effectiveness assessment model was based on an analysis of existing approaches to measuring the effectiveness of digitalization. Findings: the research presents an original methodology for assessing the effectiveness of business model adaptation to technological innovations in the context of digital transformation. This methodology includes a system of indicators at various levels (financial performance, operational efficiency, business model adaptation metrics, digitalization metrics, business competitiveness and sustainability) and methods for their analysis (statistical analysis, case studies, comparative analysis, multidimensional modeling, expert evaluation). A multidimensional model for assessing the effectiveness of digital transformation, integrating financial and non-financial indicators, was developed. Practical recommendations for adapting business models to technological innovations, aimed at enhancing the competitiveness and sustainability of enterprises, are also proposed. Conclusions: the proposed methodology allows for a systematic assessment of the impact of digital transformation and technological innovations on business model adaptation. It establishes the interrelationships between the implementation of digital technologies, business model transformation, and key business outcomes, as well as forming a comprehensive assessment of digital transformation effectiveness. This approach is a significant contribution to the development of innovation management theory, strategic management, and the digital economy. It also provides companies with practical tools for effectively managing digital transformation and business model adaptation processes to enhance their competitive positions and ensure sustainable development in the digital economy.

objective: to analyze the relevance and key elements of the mechanism of digital transformation of higher education in Russia, identify the main challenges, structural components and best practices, as well as formulate prospects and recommendations for the development of the digital educational environment. Methods: an analytical synthesis of modern literature, strategic documents and research results on the digitalization of universities has been carried out; comparative and systematic approaches have been applied to identify the structural components of the transformation mechanism. Results: it is shown that the digital transformation of Russian higher education is conditioned by the state strategy and the needs of the economy, but it faces a number of barriers (infrastructural, regulatory, personnel, etc.). The key components of the transformation mechanism (regulatory framework, technological infrastructure, human capital and management models) are highlighted, and examples of successful initiatives by leading universities are illustrated. Conclusions: digital transformation is a complex multi-level process that requires complex efforts by the government, universities and society. The proposed measures and recommendations are aimed at removing existing barriers and accelerating the integration of digital technologies into the educational process to improve the quality and accessibility of higher education.

the stability of the financial system depends heavily on the ability to accurately forecast inflationary trends, which becomes particularly relevant in times of global uncertainty and economic fluctuations. Innovative techniques based on artificial intelligence (AI) are making revolutionary innovations, improving the efficiency of analyzing and forecasting economic phenomena by orders of magnitude, and thus outperforming conventional econometric methods. In order to ensure timely and adaptive monetary policy, central banks are increasingly resorting to AI tools. This makes it possible to promptly adjust economic strategies in response to macroeconomic changes, thus minimizing possible risks associated with market volatility. The aim of the research was to study the methods of artificial intelligence to improve the accuracy of inflation forecasting and increase the flexibility of monetary policy, as well as to analyze their application in the macroeconomic context. The research objectives were to analyze existing AI methods and their potential in inflation forecasting; to assess the accuracy of forecasts compared to traditional econometric models; to develop a classification of AI methods according to their applicability for short-term and long-term forecasts; to identify the advantages and limitations of each method in the context of monetary policy flexibility. The author of the paper reviewed the scientific literature, studied various AI models like neural networks, random forest algorithm, textual analysis methods and advanced hybrid systems, and compared them with classical econometric models. The integration of AI opens up a wide range of prospects for monetary policy. It provides an opportunity to modify economic instruments in accordance with current trends, improving predictive capabilities. The study revealed that hybrid AI models combining the analysis of macroeconomic trends and behavioral factors, as well as the use of big data, can make a significant contribution to the interpretation of inflation dynamics.

credit scoring is traditionally used in the banking sector to reduce the likelihood of loan defaults. However, this method has not been applied in public financial management. In the presented study, an adaptation of the credit scoring model is proposed for the public sector of C?te d'Ivoire, which allows for the quantitative assessment of the risks of non-fulfillment of payment obligations. The scientific novelty of the work lies in the transformation of approaches to analyzing the payment capacity of public entities, taking into account the specifics of macroeconomic factors. The issue of a lack of formalized risk assessment tools in public financial management is addressed. The proposed method contributes to more effective budget planning and the reduction of fiscal risks, making it promising for further implementation. Credit scoring has long established itself as an effective risk management tool in the banking sphere. It helps financial institutions forecast the likelihood of non-repayment of loans based on data from previous borrowers. However, despite its successful application in the commercial sector, this method is scarcely used in public financial management, including in C?te d'Ivoire. Today, the problem of public debt sustainability and budget planning is especially relevant for developing countries. The increasing dependence on external and internal borrowing necessitates new tools for assessing the payment capacity of public entities. Implementing a credit scoring model in public financial management could offer more accurate forecasts for debt servicing and help reduce fiscal risks.

the purpose of the study is to theoretically substantiate the ways to optimize the assessment of the effectiveness of the organization. Methods: the study uses general scientific research methods - analysis, synthesis and systematization. A descriptive review of the literature was performed. The search for publications was conducted in the scientific electronic library eLIBRARY.RU. Findings: various approaches to defining and classifying the effectiveness of the organization are presented. It is shown that the functioning of the organization includes not only current (process), but also project activities, which require a separate approach to assessment. A definition is formulated and a conceptual model of the effectiveness of the organization is presented. A block diagram of interrelated approaches to assessing the effectiveness of economic entities, including analysis of project effectiveness, is developed. Conclusions: Assessing the effectiveness of the organization, taking into account the implementation of projects, is necessary to improve its financial and economic activities and strategic development.

the article analyzes restoration activities from the point of view of economic security, highlighting the problems of corruption, inefficient financing and poor quality of work. The impact of restoration on the economy, including job creation and tourism development, is considered. The author suggests the introduction of digital technologies such as blockchain and BIM to increase transparency and control. The author pays special attention to the specifics of combating corruption in the field of restoration activities. It should be noted that the specifics of the organization of the public procurement system in the allocation of projects impose their own characteristics on the development of a set of counteraction measures. Such features include the need to assess the departure from the stated restoration technology and deviations from design solutions. It should also be noted that the economic assessment of the work on the preservation of the cultural heritage site has a number of indicators approved by regulatory legal acts, which the contractor must comply with during the restoration work.