Improvement of Transport Logistics Business Processes of the Corporation’s Products Value Chain by Means of Artificial Intelligence

Анотація

The article is devoted to the study of the features of improving transport, logistics, business processes, value chains of production corporations by means of artificial intelligence. The purpose of the publication is to determine the possibilities and directions of using artificial intelligence to harmonize transport, logistics, business processes, multi-link, complex, multi-level systems to meet the demand of end consumers with the prospect of organizing the activities of network modular production centres. Improvement of transport, logistics, business processes of the value chain of the corporation’s products is proposed to be carried out in the process of solving the technical task formulated for specialists in the field of information technology. Such a task provides for technical support of a detailed economic and organizational justification of the sequence of stages of the logistics process from receiving an order to meeting the demand of users of final products. In accordance with the clearly defined goal of organizing efficient production, which is to achieve an optimal combination of all links in the supply chain, the possibilities of introducing transparent, prompt and economical technologies for instant response by manufacturing corporations to signals about events that disrupt the stability of logistics processes for the formation of the supply chain – urgent orders, failures in internal production and transport operations – are being investigated. It is argued that the advantages of artificial intelligence in the management of transport logistics business processes are realized by creating opportunities for processing Big Data on the course of business processes with the subsequent use of processed information in the decision-making process for optimizing supply chains. The conducted research lays the foundations for substantiating the directions of using artificial intelligence tools for the purpose of information support of network modular production centres in the areas of production stocks inventory on the basis of partnership between shippers and customers; accelerating the execution time of business processes for the delivery of goods and increasing the efficiency of the logistics component of the supply chain through digitalization; maximum assistance in the processes of synchronization of all links of production of products at the request of end users

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