The digital transformation of regional retail trade creates new requirements for sales process management, requiring higher fore-casting accuracy, flexibility of solutions and adaptability to local market conditions. Artifi-cial intelligence (AI) and machine learning (ML) technologies are becoming key tools for improving the efficiency of retail chains, allowing them to automate demand analysis, optimize inventory replenishment, improve price management, and create personalized offers for customers. The article examines the features of regional retail trade that de-termine the specifics of the use of algorith-mic methods, and reveals the impact of AI and ML on reducing operational risks and increasing the economic performance of sales activities. An analytical review of the potential of intelligent technologies in in-creasing the sustainability and competitive-ness of regional retail chains has been con-ducted.

The article discusses the issues of improv-ing the organizational and methodological support for assessing the transformation of corporate strategies of organizations in the context of sanctions restrictions. The au-thors analyze the key challenges faced by companies and propose approaches to adapting methods for evaluating strategies. Based on the analysis of established prac-tices and theoretical concepts, the main directions of strategy transformation are highlighted, as well as recommendations for improving methodological tools. Special attention is paid to motivating businesses to implement sustainable development mechanisms. The results of the study can be used to increase the sustainability of organizations in an unstable environment.

Distance trading is currently undergoing active digitalization, which has a decisive impact on the share that falls on this particular format of trade, as well as on the overall development of trade in the world. Before reaching such a promising status and occupying its niche, distance trading has come a long way in its development. It is especially important in the context of the current geopolitical situation in the world to study the development of distance trading in Russia against the background of the same process, but abroad. This article is devoted to the analysis of this process, as well as the systematization of the history of the development of distance trading in Russia.

The article once again raises the issues of preserving immovable cultural heritage sites in St. Petersburg, where in recent years the problems of their preservation have sharply worsened, cases of unauthorized demolition, removal of protected status, lowering the level of significance, uncoordinated alterations of the external and internal decoration of historical buildings-monuments have become more frequent. All this leads to the loss of authenticity of the urban environment of the northern capital and almost to the irretrievable loss of objects of national wealth. However, the material of this article included an analysis of the information that contains the experience of implementing the Program "one ruble per square meter" in relation to buildings of monuments of different levels of significance of historical megalopolises objects with the involvement of auction trading technologies prescribed in Russian legislation. The purpose of the study is to find, if not the best, then at least an optimal way to preserve immovable cultural heritage sites of historical cities on the example of St. Petersburg with the involvement of auction trading tools and in the context of overcoming serious difficulties in the development of the national economy. In terms of materials and methods of research, in addition to regulatory acts concerning the substantive side within the strictly defined boundaries of the legal field, the methodology and technique of the probabilistic approach were used in the work, in particular, the frequency variety of the objective probability concept, as well as the principles of uncertainty, invariance, methods of formal logic and expert assessments, methods of the general theory of statistics and business valuation. The obtained results of the study include an analysis of existing practices for the transfer of immovable cultural heritage objects to investors and the proposed probabilistic-statistical model for establishing the final price of the proposed lot during auction sales of objects. The article ends with brief conclusions.

This article examines how the understanding of customer value has changed over time – from classical economic approaches to modern digital and ecosystem approaches. It examines the key differences between B2B and B2C, including aspects such as decision-making and value perception. It also examines the role of digital technologies and artificial intelligence in creating value for the B2B market. It also raises another important topic – why traditional models no longer always work in a rapidly changing world, where customer value is created jointly and depends on many factors, especially in the context of network interaction. Based on the analysis, it suggests areas for further research aimed at developing integrated methods for assessing and managing value in the context of modern realities.

Mathematical modelling, as a universal language of modern science, is an indispensable mathematical skill that transforms complex real-world problems into quantitative and systematic frameworks, enhances prediction accuracy, optimizes decision-making processes, and guides the development of interdisciplinary solutions. This study conducts a bibliometric analysis to map scientific publications on mathematical modelling in mathematics education. Bibliometric analysis is a statistical method used to identify, evaluate, and track published literature through bibliometric data, including citation information related to authors, publications, institutions, journals, and countries. A total of 536 publications in the categories of Mathematics and Social Sciences from the Scopus database were analyzed. Findings reveal that the most prolific countries are the United States, Germany, and Spain, while the most influential journals are ZDM-Mathematics Education, ZDM-International Journal on Mathematics Education, and Journal of Engineering Education. Additionally, the conceptual structure of mathematical modelling is visualized and presented.

The article is devoted to the consideration of current issues of sustainable development of the real estate sector in the region. The author substantiates the need to form market demand for real estate with a high level of environmental friendliness and energy efficiency, which will contribute to increasing the level of the corresponding types of efficiency in the region. The scientific novelty of the study lies in the proposed approach to the use of social advertising and the formation of an order for the construction industry to build real estate that meets modern requirements for sustainable development. This includes the use of local materials and energy-saving technologies, involving local communities in the discussion and implementation of construction projects and ensuring consistency with the development strategy of the territory as a whole.

The article analyzes modern approaches to the classification of production processes. Classifications of production processes "by the nature of the equipment used" and "by the degree of continuity" are considered in detail. The criterion of continuous and discontinuous production processes is formulated. The classification of the levels of automation of processes in the production system is proposed.

The article shows the importance of finan-cial and non-financial information in various areas, examines the historical aspects of the formation of requirements for integrated reporting as a brief form of communication about the strategy, management, perfor-mance results and prospects of the organi-zation, taking into account its external envi-ronment. The authors substantiate that the importance of relevant and reliable infor-mation increases within the framework of project activities, and especially in the de-velopment and implementation of infra-structure projects. The availability of inte-grated financial and non-financial infor-mation ensures transparency in interaction between project participants, facilitates the task of monitoring the situation with the implementation of the project, allows for effective management of the impact of the project on the environment and ensures the minimization of negative consequences.