###### Abstract
In this respect, this innovative model becomes viable if the company recognizes that there are a lot of bright professionals and more profound knowledge outside the organization. Companies can use the practice of open innovation for digital transformation in many ways, such as alliances between companies, research departments at universities, competitions for crowdsourcing and innovative ecosystems. Using open innovation as a model for managing business, digital transformation of logistic systems can become a reality. Such a development of digital transformation can be already observed in various countries and companies around the world. All industrially developed countries have adopted the Industry 4.0 development programs. They include using AI technology, the Internet of Things in production industry, the Cyber-Physical System in production processes, as well as applying Augmented Reality, Big Data, Cloud Technologies, autonomous robots, horizontal and vertical integration of systems, information security, and digital modelling [7]. The study _The assessment of the digital economy development in the countries of the European Union_[8] analyzed the development and influence of digital transformation on the global logistic system, which the European Union can be referred to, according to the concept discussed in the paper. It was concluded that the model of digital economy development in the EU countries is nothing but Open Innovation. In this context, we can see how digital technologies actively penetrate into all spheres of life of our society, which means that it is important and necessary to analyze how digital transformation affects the development of the logistic system. The business community and the governments of various countries around the world realize that the processes of digitalization and digital transformation of the economy must be accelerated, and so analytical, scientific and methodological studies have to be carried out to see how such changes can be introduced. Based on the above, the paper is aimed at discussing the methodological principles that can be used to assess the impact of digital transformation on the indicators of the logistic system. The results of the research study are put down in the following sequence: the relevance of the research study and its purpose are formulated; a literature review on the knowledge of the problem is presented; the methodology is provided for assessing the impact of digital information technology on the development of a logistic system; Salesforce company is selected for the case study to assess the impact of digital information technology on the development of a logistic system; a model is built to evaluate the effect of digitalization; results are obtained and discussed, and conclusions are made. The formulated methodological principles are generalized and can be applied to assessing the impact that digitalization makes on the development of any type of a logistic system: megalogistic, macrologistic, or micrologistic. The new result of the research study is the methodology suggested for a comprehensive assessment of the impact that digitalization has on a totality of interrelated and interdependent resulting indicators of a logistic system. A comprehensive assessment of the impact that digitalization has on a totality of interrelated indicators of a logistic system is understood as a change of the indicators caused by digitalization. Such a change of the indicators is obtained as a result of solving a system of interdependent econometric equations. The methodology was tested on a micrologistic system for which Salesforce company was chosen as an example. The source data for the system of interrelated econometric equations, the variables and the stages of the methodology are presented in Appendix A, Appendix B, Appendix C, Appendix D.  
The model can be quite easily reproduced, because the authors have worked out a methodology for selecting the parameters of the model and tested it on some logistic systems, including that of Salesforce.