Technoeconomics

UNK RUS 4-14 57210345222 0000-0002-4822-6768 Peter the Great St.Petersburg Polytechnic University Levina Anastasia

Saint Petersburg, Russia

Rimt University Okunlola Peter okunlola_pm@spbstu.ru

Mandi Gobindgarh, Punjab, India

Business optimization in e-commerce: leveraging data analytics for improved decision-making and performance enhancement In today’s data-driven business environment, e-commerce platforms are increasingly leveraging data analytics to enhance operational efficiency, improve decisionmaking, and gain a competitive edge. This research examines how analytics is transforming core e-commerce functions, including inventory management, supply chain and logistics, personalization, marketing campaign optimization, and pricing strategy. By enabling real-time demand forecasting, route planning, and customer behaviour analysis, data analytics empowers businesses to deliver products more efficiently and tailor experiences for individual users. The paper presents case studies from leading platforms like Amazon, eBay, Shopify, and Flipkart to demonstrate how data-driven decision-making leads to measurable performance improvements and competitive success. These examples highlight the strategic importance of embedding analytics into e-commerce ecosystems as a foundation for business optimization, innovation, and long-term growth. 10.57809/2025.4.3.14.1 330.47 business optimization e-commerce data analytics decision-making performance enhancement business intelligence digital transformation https://technoeconomics.spbstu.ru/article/2025.14.1/ 1_okunlola_levina.pdf

UNK RUS 15-25 Peter the Great Saint-Petersburg Polytechnic University Gudkovskiy Lev gudkovskij.lg@edu.spbstu.ru

Saint-Petersburg, Russia

Multi-agent system as a tool for transport logistics planning: technical status of vehicles in the russian federation This article examines the importance of transport logistics in the Russian Federation. The authors assess the performance of transport logistics and its integral components. In the course of the research the Rosstat data and the LPI coefficient were employed in the statistical analysis. Factors that influence logistics performance were identified, including weather and road conditions, customs operations, and information support. What is more, the technical readiness and status of vehicles were examined with due respect to the logistics performance indicators that prove its efficiency. As a result, the authors suggest a method for managing transport and logistics based on a multi-agent system with predictive analytics and IoT devices that contribute to better management and forecasting in transport logistics. 10.57809/2025.4.3.14.2 330.47 transport logistics multi-agent system virtual private network technical monitoring predictive analytics https://technoeconomics.spbstu.ru/article/2025.14.2/ 2_gudkovskiy.pdf

UNK RUS 26-34 Financial University under the Government of the Russian Federation Kimirilova Olga kimirilova.2003@gmail.com

Novorossiysk, Russia

Innovations in the development of the IT sector: data processing, blockchain, the IoT In the context of rapid technological progress, new solutions and approaches are required to ensure competitiveness of organizations. Currently, areas such as artificial intelligence, blockchain, cloud technologies, and the Internet of Things are being widely considered, as well as their application in various aspects of our lives, from business to healthcare. This article focuses on modern innovations in information technologies and their impact on business development and societal processes. In the course of this research, special attention is paid to the risks associated with the implementation of innovations, such as data security issues and ethical concerns. Examples of technology implementation are provided to highlight the best areas for further development. In conclusion, the article emphasizes the importance of adapting educational programs and professional development for the successful integration of new technologies into practice. 10.57809/2025.4.3.14.3 330.47 information technologies blockchain artificial intelligence the Internet of Things https://technoeconomics.spbstu.ru/article/2025.14.3/ 3_kimirilova.pdf

UNK RUS 35-45 0000-0002-5153-7727 Peter the Great St.Petersburg Polytechnic University Lyamin Boris

Saint Petersburg, Russia

Peter the Great St.Petersburg Polytechnic University Yanchevskaya Margarita

Saint Petersburg, Russia

Conceptual model for the implementation of lean manufacturing in logistics organizations Digitalization plays a key role in the development of lean manufacturing, especially at large enterprises involved in logistics. The integration of digital technologies significantly enhances the transparency, controllability, and efficiency of production and logistics processes, contributing to the minimization of losses and costs. This study evaluates prospects for implementing lean technologies based on the example of the Russian Post—one of the largest logistics enterprises in the country. The research involved an analysis of key bottlenecks and problems at the company, as well as a detailed breakdown of each current loss. In accordance with obtained results, the authors suggest a conceptual model for process improvement to ensure continuous enhancement of processes and growth in operational efficiency. 10.57809/2025.4.3.14.4 330.47 lean manufacturing logistics operational efficiency conceptual model the Russian Post https://technoeconomics.spbstu.ru/article/2025.14.4/ 4_lyamin_yanchevskaya.pdf

UNK RUS 46-54 0009-0007-3743-5584 Financial University under the Government of the Russian Federation Kartasheva Marina kartasheva.02@bk.ru

Novorossiysk, Russia

Information system design for the newspaper editorial office: architectural approach The modern business environment is constantly changing due to the influence of technology and customer needs. In conditions of high competition and rapid pace of change, traditional methods of marketing process management are no longer able to cope with the challenges that have arisen. In this regard, the introduction of information systems (IS) in marketing departments is becoming not only relevant but also vital. Information systems can significantly improve work efficiency by optimizing data collection and analysis, automating processes, and improving communication within a team. This implementation helps companies adapt to changes in the market, providing more accurate targeting and a personalized approach to customers. In modern conditions, when information is becoming an essential asset, the use of information technology in marketing shapes foundation for business success and sustainability. 10.57809/2025.4.3.14.5 330.47 business process business structure architectural model information system information technologies https://technoeconomics.spbstu.ru/article/2025.14.5/ 5_kartashova.pdf

UNK RUS 55-63 Peter the Great Saint-Petersburg Polytechnic University Lepikhin Sergey lepikhin_ss@spbstu.ru

Saint-Petersburg, Russia

0000-0003-4662-1905 Peter the Great Saint-Petersburg Polytechnic University Krasnov Alex krasnov_as@spbstu.ru

Saint-Petersburg, Russia

Approaches to assortment launch strategy in marketplaces: specifics and prospects This research is dedicated to the justification of specific features in developing a strategy for the successful launch of a new product assortment on marketplaces amid the rapid growth of e-commerce in the Russian Federation. The authors identify the key components involved in analyzing the enterprise’s micro- and macro-environment, examine the advantages and disadvantages of platforms available for introducing new assortments, and explore the characteristics of defining the target audience. As a result of the study, an algorithm was developed to determine the framework of assortment launch with an emphasis on minimizing risks. 10.57809/2025.4.3.14.6 330.47 e-commerce marketplace target audience microenvironment macroenvironment https://technoeconomics.spbstu.ru/article/2025.14.6/ 6_lepikhin_krasnov.pdf

UNK RUS 64-77 0009-0005-0370-7313 Peter the Great Saint-Petersburg Polytechnic University Phinney Dominguez José Emilio josemilio.1995@gmail.com

Saint-Petersburg, Russia

Decay-weighted fair price for Solana blockchain token buyback This article investigates the problem of determining a fair reclaim price in fractionalized token markets on the Solana blockchain. The research object is the reclaim process, where minority holders must be compensated without exposure to short-term manipulation. The method introduces a program-derived account structured as an 11.5 kB circular buffer storing 720 hourly market prices, combined with an exponential decay weighting scheme with a 24-hour half-life to compute a time-weighted average price. Simulation results demonstrate that extreme pump or dump attempts within the final 72 hours before reclaim have a negligible effect on the computed value. The study concludes that the proposed mechanism ensures fairness for minority holders while maintaining cost efficiency in storage and transaction fees. 10.57809/2025.4.3.14.7 330.47 fractionalized tokens manipulation-resistant time-weighted average price exponential decay weighting Solana program-derived address account circular buffer on-chain pricing reclaim mechanism OpenBook order book gas-efficient storage DeFi fai https://technoeconomics.spbstu.ru/article/2025.14.7/ 7_phinney_dominguez.pdf