title: Ð Ð°Ð·ÑÐ°Ð±Ð¾ÑÐºÐ° Ð¼Ð¾Ð´ÐµÐ»Ð¸ ÑÐ¿ÑÐ°Ð²Ð»ÐµÐ½Ð¸Ñ ÑÐµÐ¿Ð¾ÑÐºÐ°Ð¼Ð¸ Ð¿Ð¾ÑÑÐ°Ð²Ð¾Ðº Ð½Ð° Ð¾ÑÐ½Ð¾Ð²Ðµ Ð¼Ð°ÑÐ¸Ð½Ð½Ð¾Ð³Ð¾ Ð¾Ð±ÑÑÐµÐ½Ð¸Ñ
title: Ð²ÑÐ¿ÑÑÐºÐ½Ð°Ñ ÐºÐ²Ð°Ð»Ð¸ÑÐ¸ÐºÐ°ÑÐ¸Ð¾Ð½Ð½Ð°Ñ ÑÐ°Ð±Ð¾ÑÐ° Ð¼Ð°Ð³Ð¸ÑÑÑÐ°
titleType: Subtitle
title: Development of a supply chain management model based on machine learning
Creators: name: Ð¢Ð°ÑÐ°ÑÐ¾Ð²ÑÐºÐ¸Ð¹, ÐÑÑÐµÐ¼Ð¸Ð¹
Publisher: name: Ð¡Ð°Ð½ÐºÑ-ÐÐµÑÐµÑÐ±ÑÑÐ³ÑÐºÐ¸Ð¹ Ð¿Ð¾Ð»Ð¸ÑÐµÑÐ½Ð¸ÑÐµÑÐºÐ¸Ð¹ ÑÐ½Ð¸Ð²ÐµÑÑÐ¸ÑÐµÑ ÐÐµÑÑÐ° ÐÐµÐ»Ð¸ÐºÐ¾Ð³Ð¾
Year: 2024
Subjects: ÑÐµÐ¿Ð¾ÑÐºÐ¸ Ð¿Ð¾ÑÑÐ°Ð²Ð¾Ðº
Ð¸ÑÐºÑÑÑÑÐ²ÐµÐ½Ð½ÑÐ¹ Ð¸Ð½ÑÐµÐ»Ð»ÐµÐºÑ
Ð¼Ð°ÑÐ¸Ð½Ð½Ð¾Ðµ Ð¾Ð±ÑÑÐµÐ½Ð¸Ðµ
ÑÐ¸ÑÑÐ¾Ð²Ð°Ñ ÑÑÐ°Ð½ÑÑÐ¾ÑÐ¼Ð°ÑÐ¸Ñ
Ð±Ð¸Ð·Ð½ÐµÑ-Ð¿ÑÐ¾ÑÐµÑÑ
supply chains
artificial intelligence
machine learning
digital transformation
business process

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description: The purpose of the study is to optimize the supply chain management process at an enterprise using an intelligent system based on machine learning algorithms. Subject of research: application of artificial intelligence and machine learning technologies in supply chain management. Research methods: literature analysis, generalization, systematization, comparative analysis. Main results of the study: - The theoretical foundations of digital transformation in supply chain management have been studied; - An analysis of supply chain management processes at the I-cable LLC enterprise was carried out and key areas for their optimization using artificial intelligence technologies were identified; - Modern methods and technologies of supply chain management are considered, including the use of machine learning algorithms; - A conceptual model has been developed for the implementation of artificial intelligence technologies in supply chain management processes; - The potential economic effect of using machine learning algorithms in supply chain management has been assessed. Scope of application of the results: digital transformation of supply chain management systems in companies in various industries. The scientific novelty of the research is the developed conceptual model for integrating artificial intelligence and machine learning technologies into supply chain management processes, which takes into account the specifics of the digital transformation of logistics operations and can be adapted for use in various sectors of the economy. Conclusions. The research objectives have been solved, the goal has been achieved. The scope of application of the results has been determined. The results obtained have signs of scientific novelty. The prospects for further research in the field of implementation of AI technologies in supply chain management are substantiated.