INTERNATIONAL EXPERIENCE OF LOGISTICS SYSTEM FORMATION IN CROSS-BORDER BUSINESS: ECONOMETRIC TOOLKIT

Abstract

The international experience of forming a logistics system in business includes a wide range of approaches, strategies and technologies that are used to optimize supply chains, reduce costs and increase the efficiency of business processes. The study of world experience in the formation of the optimal system of logistics calculations, considering the risks associated with the delivery, receipt and storage of goods, will allow us to improve logistics at any level of business. In our opinion, the professional evaluation of the cost parameters of the logistics product using econometric tools is of particular importance in such studies. The article is devoted to the study of the international experience of forming a logistics system in cross-border business. The result of scientific research is the conclusion that global business actively uses various forms of adaptation to the requirements for transport and logistics systems to form effective logistics in cross-border business. The application of the researched forms allows for effective and objective analysis and forecasting of various aspects that affect the efficiency of logistics processes. The main aspects of the application of econometric models in cross-border business are analyzed. It was found out that in cross-border business, the optimization of routes for the delivery of goods between countries plays a special role. For this, regression models can be used, which analyze historical data regarding transportation time, transportation costs, weather conditions, and customs procedures. Based on this data, a strategy can be developed that minimizes time and costs, which is critical in a competitive environment. Conclusions were made that econometric models are an important tool for enterprises engaged in cross-border business, as they allow effective planning, process optimization and risk management. With the ability to process large amounts of data and consider multiple factors, these models help businesses adapt.