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RELATIONSHIP OF ACCOUNTING AND STATISTICAL ACCOUNTING OF LOGISTIC COSTS IN THE INTEGRATED BUSINESS STRUCTURE

For economic entities, business partnerships are not based on individual competition or improving individual business processes, but on improving supply chains. When making management decisions, the question arises about the performance indicators of business processes both at the level of an economic entity and at the macro level. When assessing the effectiveness of supply chains, it is necessary to assess the costs arising in the course of financial and economic activities. The logistics component has a large share in the supply costs. A full accounting of logistics costs allows you to obtain reliable information for the analysis and development of measures to reduce them, which increases the efficiency of the entire economic activity of an economic entity. The article proposes a classification of logistics costs according to the degree of added value creation and dependence on the volume of production, including the allocation of transaction costs, which make up a significant share in the overall structure of logistics costs. The classification of logistics costs should be transformed depending on the organizational and legal form of the organization and the field of activity. The system of accounting for the logistics costs of economic entities should highlight them when implementing all logistics functions; study information about the most significant logistics costs and the nature of their occurrence; study the interdependencies of logistics costs throughout the entire supply chain. The developed system allows keeping separate accounting of logistics costs on a separate account, which makes it possible to control them. In modern conditions, organizations are faced with the need to integrate various types of accounting, including accounting, management and statistical. The algorithm for the implementation of this task includes four stages: development of a methodology for the integration of accounting, management and statistical accounting; formation of management accounting policies; development of data transformation regulations; selection of software for the automation of statistical, accounting and management accounting