Digital transformation of enterprise’ logistics activities: bibliometric and trend analysis
Authors: Hubarieva Iryna , Harmash Oleh , Trushkina Nataliia , Shkrygun Yuliya , Patlachuk Tamila 
Published: January 2025

In the modern conditions of the digital economy and many force majeure events, both economic and social, the issues of providing production with the necessary material and information resources and their effective use; improving operational and strategic management of warehouses, product stocks, differentiated transport flows, sales activities and customer experience are of particular relevance. In order to ensure effective operations, enterprises must organize their activities in such a way as to achieve risk mitigation, minimize losses and costs associated with the organization of logistics processes, production, transportation, logistics services and sales, as well as maximize profitability from sales. First of all, the above tasks can be achieved by increasing the efficiency of managing the logistics activities of enterprises, taking into account the analysis of its components, their interconnection and the presence of an accelerated and uneven process of digitalization.
In view of the above, this study is devoted to the analysis of the relationship between digital transformation and the processes of logistics activities of companies using bibliometric and trend approaches. The aim of the article is to identify the main areas of scientific research, assess the dynamics of publication activity, and identify key trends and gaps in this field of knowledge. As part of the study, a bibliometric analysis of the database of scientific publications was conducted to identify the most cited works and authors, as well as a trend analysis to identify changes in the topics of research. The results of the study will allow us to obtain a holistic picture of the current state and prospects for the development of research on the digital transformation of logistics activities of enterprises of various industries, which can contribute to the formation of more effective sales and marketing policy and the concept of logistics management.
It has been established that it is advisable to develop and implement management solutions in the following key areas: management of procurement and supplies of material resources (calculation of the optimal volume of the delivery batch of material resources, optimization of the enterprise's procurement strategy, improvement of the procurement process management using the multi-criteria evaluation method of choosing the optimal supplier of material resources); management of transport flows (implementation of information systems for managing cargo flows, application of automated document processing in the process of registering cargo transportation, development of proposals for optimizing transport loading, use of Internet technology for automating transport processes); management of customer experience (analysis of product shipment volumes, forecasting product shipment volumes to consumers, development of proposals for improving the level of logistics service, formation of a system of contractual relationships with consumers, improvement of a customer-oriented approach to servicing various categories of consumers in the context of the concept of relationship marketing); sales management (substantiation of the feasibility of applying a network approach to organizing sales activities of enterprises; improvement of the mechanism for implementing public-private partnerships in managing sales activities of enterprises based on the organizational and legal form of a syndicate, a methodological approach to choosing the optimal sales channel for finished products; identification of priority areas for the development of e-commerce as an effective tool for promoting products on the market).
It has been proven that the priority area of research in the future should be the development of a strategy for the digital transformation of the customer relationship management system using digital marketing tools and artificial intelligence.