Digital Transformation Strategies for Purchasing and Logistics Management in Automotive Transport Companies
Year: 2024
Type: article
Abstract: With the rapid development of information technology, digital transformation has become a key path for the procurement logistics management of automobile transportation enterprises. This study deeply analyzes the background and current situation of the digital transformation of procurement logistics management in automobile transportation enterprises, and reveals the challenges faced by the traditional mode in information transmission, supplier management, inventory control and other aspects. Explain the core technologies of digital transformation, such as big data, Internet of Things, artificial intelligence and blockchain in all aspects of procurement logistics. Accurate demand prediction and supplier evaluation and screening through big data analysis; Internet of Things facilitates transportation process visualization and intelligent monitoring of devices; artificial intelligence optimizes purchasing decision and intelligent scheduling; blockchain ensures the security and traceability of transaction information. Further explore the significant benefits of digital transformation, including reducing procurement costs, improving supply chain transparency, enhancing risk response capabilities, and improving customer satisfaction, etc. At the same time, put forward enterprises in the process of promoting digital transformation to focus on the key strategy, such as building perfect data management system, strengthening the construction of digital talent team, promote enterprise internal between various departments and digital collaboration with external partners, etc., for the successful procurement logistics management digital transformation to provide comprehensiveTo help it stand out in the market competition in the digital era and achieve sustainable development
Authors: Jian Liu, Kudriavtseva O.
Language: English
Subfield: Industrial and Manufacturing Engineering
Field: Engineering
Domain: Physical Sciences
Open Access status: green
OpenAlex ID: W6968089406
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