Predictive models and basic principles for estimating the parameters of digital data flows in logistics of the international trade
The article presents scientific tools for assessing the parameters of data flows in international logistics systems, acting as a necessary element for justifying decisions on the further development of digital logistics infrastructure. Particular attention is paid to specifying the composition of parameters describing digital data flows in logistics systems, as well as the main factors determining the parametric description of digital data flows in international logistics systems and supply chains, which allowed to develop a universal methodology for predictive modelling of digital data flow parameters in international trade.