Expert System for the Freight Coordination Based on Artificial Intelligence
Expert System for the Freight Coordination Based on Artificial Intelligence

Summary/Abstract: With the rising of the Industry 4.0, new technologies are emerging that open new opportunities for the transformation of business. These technologies change the supply chains and promote new ways for business value creation (Arenkov, Tsenzharik, Vetrova, 2019). Intelligent solutions and systems based on artificial intelligence (AI) allow for automated management of information, while high level of automation in an organisation and sustainability that has been quickly gaining momentum are very important seeking not to lag behind the rapidly changing market. Many researchers have been trying to solve the transport route planning problem during the recent decades using various methods with different techniques. However, establishing the lowest price and the highest effectiveness is very complicated. One of the methodologies invoked for performing the operations of this type refers to the artificial intelligence machine learning system. A constantly changing dynamic structure of the supply chain poses numerous interesting challenges to effective system coordination. Many sectors earn high profits from AI-based solutions and automation of robotised processes in business attaining advanced results, from customers to companies and manufacturing enterprises. Transportation and logistics sector has also been increasingly seeking to introduce the innovations of these technologies in its processes. Automated logistics reflects the global trend of the logistics industry development, considering the rapid recent development of big data, internet of things, automated processes, and other technologies. Essentially, automation of intelligent logistics determines the effectiveness of logistics activities and service level growth (Li, 2018). Artificial intelligence is invoked in various industries, especially in automated production companies, to free up the human activities and to set a standard of advanced skills and techniques in business processes; it is also an excellent solution for the transportation and logistics sector (Lin, Shih, Yang, Lin, Kung, 2018). This research paper represents an attempt at examining the benefits of the supply chain management (SCM) service and its improvement conferred by automated decision-making and coordination. The paper discusses the conception of artificial intelligence and methods for its application as well as the benefits resulting from the application of these technologies in transport companies to improve the employee performance. Finally, a design of expert system for freight coordination is presented summarising the application of artificial intelligence, which can confer a competitive advantage to the company.

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