Study of Software for Automation of Business Processes and Management Reporting in Logistics Companies
Year: 2025
Type: article
Abstract: The paper is concerned with the software for automation of business processes and management reporting in logistics companies. The relevance of this paper is conditioned by the dynamic evolution of information technologies and their impact on the efficiency of business management, including in logistics companies. Automation of business processes in such companies involves the introduction of dedicated software ensuring accounting, analysis, and control of information, data interpretation, and integration with other information systems for automated management reporting. The purpose of the paper is to study the software available on the market designated for the automation of business processes in logistics companies and to identify software solutions and functionality aimed at expanding information capacity for management, in particular, with regard to automated management reporting. The paper employs general scientific and dedicated methods of research, including the dialectical method and substantive analysis of the functionality of software available on the market designated for automation of business processes in logistics companies. The paper presents the following key findings: identification of trends in the development of functionality of ERP information systems for automation of business processes; analysis of the functional purpose of the most common ERP systems on the market and associated software solutions for automation of logistics processes; identification of factors for customizing ERP systems to meet the individual needs and goals of logistics companies; identification of the potential of automated generation of management reports by ERP systems for information support for business management in logistics companies. The practical value of the study findings lies in substantiating the feasibility of introducing ERP systems into the business of logistics companies to automate their business processes and provide information support for their management.
Source: Business Navigator
Authors: Lyubomyr Pylypenko, Oleh Sokil, Alla Yasinska
Language: English
Subfield: Management Information Systems
Domain: Social Sciences
Open Access status: bronze
OpenAlex ID: W4409367249