Review and Analysis of the Supply Chain Management Software Available in the Market

Aim. This study aims to determine the directions for the improvement of corporate information systems involved in the composition of supply chains during the production of a certain end product and services that would allow enhancing the competitiveness not only of companies, but of the supply chain as a whole. Tasks. This study analyzes the requirements for information systems, functional capabilities of the existing information systems in the field of supply chain management, and identifies major trends in the development of software for solving logistical problems. Methods. This study uses general methods of scientific cognition, scientific and analytical articles, and information on the developed software provided by vendors. Results. When taking a decision to develop new software for a company involved in the supply chain, the developers need to take into account the existing requirements for the functional capabilities of information systems as well as the existing trends in their development. Such systems should be capable of storing information about daily operations that would be accessible for other members of the supply chain and predicting future needs based on the accumulated information. The majority of the information systems for networking that are heavily used in the industry rely on cloud computing to some extent. Other than that, information systems use artificial intelligence in order to make decision-making possible. Conclusion. In the modern economic conditions, the focus shifts from the competitiveness of a company to that of the supply chain in which the company is engaged in the production and sale of a certain product and/or service along with other members. Enhancing competitiveness requires joint use of modern information systems capable of ensuring cooperation between the members of a supply chain at minimal costs through information sharing and implementation of joint planning.

логистика, управление цепями поставок, облачные системы, интеллектуальные системы, мультиагентные системы, logistics, supply chain management, cloud systems, intelligent systems, multi-agent systems

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