## 1 Introduction  
Digital technologies are introduced into various spheres of human activity on an increasingly wider scale. Some economic sectors, such as trade, tourism, and banking, have undergone significant transformations, which experts have designated as the so-called digital transformation of business [1; 2; 3; 4]. Conventional ERP (Enterprise Resource Planning) systems that originated in the 1960s as solutions mainly covering manufacturing are evolving to solve the problems of customer relations, marketing, and logistics. This is conditioned by high competition in various industries, where it is not only the production as such that is of value, but also the increasingly more efficient marketing and delivery of produced goods to consumers [5; 6; 7; 8; 9]. Accordingly, the digital transformation of supply chains is the focus of both academic researchers and practitioners developing new digital solutions.  
Although Transportation Management Systems have been used by many transportation and logistics companies for quite some time [10; 11; 12], new digital solutions are being developed that will be able to create additional business value [13; 14; 15]. For example, the road transportation industry has seen significant changes primarily associated with the almost universal introduction of GPS\(\backslash\)GLONASS monitoring systems, including integration with various on-board systems (those controlling fuel injection, braking, etc.), also interconnected with various components of the Internet of Things [16; 17]. Thereby, various parameters of vehicle operation are digitalized, including changes in location, fuel consumption, and tire pressure. The use of RFID (Radio Frequency IDentification) tags has also made it possible to digitalize cargo tracking. Data on the status of material resources involved in the transportation process constitute an important information flow characterizing the events that occur with vehicles and cargo, creating the conditions for the qualitative development of transportation activity [18].  
In our opinion, the data mining of the sequence of these events allows the following:  
* Identifying problem areas in the business processes of a transport company that affect the reliability of the transportation process;
* Determining the causes of deviations in business processes from the standard ones;
* Creating new and improved reference business processes that better meet the company's needs when using TMSs;
* Based on new improved reference business processes, creating a digital twin of the organization in order to automate its activities and warn about and prevent the occurrence of variations in business processes when using TMSs, affecting the reliability of the transportation process.  
Thus, the purpose of our research is to study the possibility of identifying ordinary business processes (\"as is\") of managers based on data from the TMS event log, their subsequent analysis, the identification of variations, and the formation of improved business processes (\"to be\"). The results obtained will determine the approach for creating a digital twin of the organization in order to ensure reliable transportation. In this regard, our research plan is presented as follows. Section 2 provides a review of the literature on the reliability of freight transportation, the role of TMSs in managing the reliability of the transport process, and approaches to creating digital twins. Section 3 presents a model of the methodology for forming a digital twin of an organization. Section 4 describes a case study that justifies the presented methodology. Section 5 describes the advantages of this methodology when adapting a TMS to the activities of each transport company. Section 6 presents the general conclusions of the study.