

Dear readers! In September the CeMAT RUSSIA exhibition was held, which showed everyone that innovations and robotics are increasingly penetrating the logistics industry. We can safely say that many technologies are tested here, and only then they go out into the world. However, it is not only CeMAT RUSSIA that demonstrates the prevalence of the digital agenda.
Dear readers! This is the ninth issue of the journal, which turned out to be very rich and diverse. Traditionally, the issue is opened by an analyst. The material by Alina Nasyrova from the Market Guide Agency, dedicated to investments in warehouse complexes in Russia, recalls the importance of developing logistics infrastructure for the integrated development of regions.
Dear readers! We present to your attention the eighth issue of the magazine and its materials.
Annotation. The article analyzes cases of successful implementation of machine learning technologies in the logistics processes of Russian and foreign companies. It provides statistics on the improvement of performance indicators, allowing for conclusions about the profitability of using machine learning in the organization's processes. The article also discusses the barriers that limit the widespread use of information technologies.
Key words. Machine learning, logistics, artificial intelligence, predictive analytics.
Annotation. The article examines the effects of the use of artificial intelligence technologies. The main directions of its integration, such as logistics planning and route automation, are considered. Special attention is paid to the analysis of economic and technological advantages, as well as potential challenges associated with implementation, including the need for digital transformation and staff adaptation. Based on real-world cases, the practical value of artificial intelligence for logistics companies is demonstrated.
Annotation. The article is devoted to the consideration of the importance of information sources in the logistics, their classification and characteristics are given, the main types and their features are described, a survey was conducted among several categories of the population to analyze their prevalence.
Key words. Information, information sources, automation of logistics processes, logistics, digitalization.
Annotation. The architecture of the logistics system for monitoring information on the quality of building materials in supply chains is presented, including the control and controlled subsystems, the quality passport of the construction object, and information users. The information platform of the logistics system is based on blockchain technology with smart contract tools.
Key words. Architecture of the logistic system, smart contract, blockchain, quality passport.
Annotation. In the article considers the advantages and problematic aspects of digital technologies’ introduction in the transport and logistics sector. The reasons why digitalization of logistics service enterprises in maritime transport is necessary are identified. The main areas and business processes of maritime transport enterprises in which the use of digital technologies is possible are determined. The experience of using digital platforms by leading companies providing logistics services in maritime transport is analyzed.
Annotation. The content of the blockchain concept (technology) in relation to supply chain management and logistics is disclosed. The evolution of blockchain technology is shown: advanced blockchain, complex and advanced solutions using blockchain. The main areas of application and characteristics of the problems of the blockchain application in the USP are considered. The key risks and problems faced by developers of blockchain solutions in logistics and ADC are analyzed.
Key words. Blockchain, supply chain management, logistics, digital technologies, information platform, scaling model.
Annotation. The article is devoted to the theoretical and practical issues of using artificial intelligence in logistics and transport.
Key words. Artificial intelligence, logistics, railway industry startups.
Annotation. The implementation of intelligent technologies for monitoring stocks of operational resources in warehouses of a transport and logistics company implementing experimental projects of unmanned cargo transportation is considered through the prism of their perception by various groups of employees.
Key words. Operational resources, stock monitoring, intelligent technologies, unmanned cargo transportation.