DIGITAL TRANSFORMATION OF BUSINESS PROCESSES AND BUSINESS MODELS IN TRANSPORT ORGANIZATIONS BASED ON THE USE OF ARTIFICIAL INTELLIGENCE

The purpose of the article is to offer recommendations for improving the digital transformation of business processes and the business model in the transport organization. Methods used: classification, systematization, economic analysis, modeling. The novelty of the article is the systematization of theoretical material related to the issues of digital transformation of business processes and the business model, which were studied in a narrow context in previous studies. The theoretical foundations of the digital transformation of business processes and the business model and the features of approaches to the digital transformation of the management system in the transport organization are analyzed. Recommendations are given. It was concluded that the difference between digitalization and digital transformation lies in the scale of the processes being implemented: the first affects several business processes, digitalization — one. The essence of digital transformation is to constantly change and adapt to a changing world, and therefore for each transport organization in the near future the issue of digital transformation will be one of the main ones in the development of strategies. To implement it, the head of a transport organization needs to know about the diversity and possible functionality of each management solution, since it is he who knows about the value chain, business processes, employee performance, and it is he who can determine the direction of digital transformation as accurately as possible.