Fundamental Issues in Business Processes of Large Logistics Companies

Citation: Rybtsov Serhii, "Fundamental Issues in Business Processes of Large Logistics Companies", Universal Library of Business and Economics, Special Issue.

Copyright: This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Abstract

The article examines key issues in the business processes of large logistics companies and their impact on operational efficiency and financial performance. The relevance of the study is determined by the increasing complexity of global supply chains and the growing demand for cost-effective logistics solutions. Purpose. The novelty of the research lies in a comprehensive analysis that includes inaccurate inventory tracking, suboptimal planning, high transportation costs, and delays caused by documentation errors. The role of artificial intelligence (AI) and real-time tracking systems in optimizing logistics operations is described. Materials and methods. Industry reports and academic publications highlighting the potential of AI-driven automation in cost reduction and service quality improvement were discussed. Results. The main result of the study is the identification of key business process issues in large logistics companies, such as a lack of accurate information, inefficient planning, high costs, missed deadlines, and resource shortages. Effective solutions are proposed, including the use of real-time tracking systems and artificial intelligence to enhance operational efficiency and competitiveness. This article will be of interest to logistics professionals, supply chain managers, and researchers focused on digital transformation in transportation and warehousing.

Keywords: Logistics, Supply Chains, Business Process Optimization, Artificial Intelligence, Inventory Management, Transportation Costs.

https://doi.org/10.70315/uloap.ulbec.2023.001