The Formation of the International Transportation Management Strategy Based on the Regularities of the Distribution of Logistics Indicators

Abstract

The article investigates the impact of statistical distribution patterns of key logistical parameters on the development of strategic management in international freight transportation. The relevance of this study is underscored by the increasing need for logistics companies to adapt to rapidly evolving global market conditions, particularly through the adoption of efficient, sustainable, and technology-oriented logistics solutions.

The paper addresses current challenges facing international logistics, such as fluctuating demand, environmental regulations, driver shortages, and infrastructure constraints. Special emphasis is placed on the role of logistics providers in enhancing the efficiency of international freight transportation. The study underscores the importance of integrating digital technologies, forecasting systems, data analytics, and artificial intelligence into logistics processes. It proposes a structured framework for analyzing the influence of critical factors – including transportation demand, shipment volumes, delivery costs, times, and distances – on logistics performance.

Using empirical data from a Ukrainian logistics company operating along the «Warsaw – Kyiv» and «Tomashiv – Kyiv» routes, the study conducts statistical analysis employing the Kolmogorov-Smirnov and Pearson chi-square tests. The probability distribution models for each parameter were identified and statistically validated. These findings provide a foundation for developing predictive models, improving resource allocation, and optimizing logistics operations. The proposed approach contributes to enhancing the competitiveness of logistics enterprises and supports the implementation of sustainable development strategies.

Keywords: international freight transportation, logistics strategy, distribution of logistical parameters, statistical analysis, digital technologies, transportation optimization, artificial intelligence