Abstract
<jats:p>Objective: to examine the issue of accelerating freight shipping fl by rail. To achieve this objective, key factors that negatively aff delivery speed were identifi. Methods: collection, comparison, and systematization of data on the operating speeds of freight trains. Results: the research concluded that a differentiated approach is required for the development of measures to accelerate freight transport fl as well as a comprehensive strategy is necessary to address the specifi challenges of per-wagon load consignments. A classifi of factors aff freight delivery speed has been proposed, and the principal directions for measures to increase train speeds have been substantiated. It is emphasized that acceleration of fl is directly infl by organizational arrangements, technology, data culture, the scaling of digital technologies, and personnel qualif. Practical importance: the study demonstrates the necessity to revise existing approaches to train scheduling and to develop adaptive, forecast-driven digital models. A comprehensive scientifi approach to logistics optimization and transport management, together with the deployment of intelligent AI-based solutions in transportation, can signifi improve rail-freight delivery speed.</jats:p>