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The Role of Digitization in the Logistics Sector: An Overview


The logistics sector is undergoing rapid evolution due to changing customer expectations, increased competition, and technological advancements. The role of digitization in this sector is becoming increasingly crucial, targeting critical elements such as speed, transparency, quality improvement, and cost reduction.

Shift in Customer Demands

Customer expectations are diversifying, particularly with the widespread use of the internet, leading to an increase in demands for speed, security, and lower costs. This scenario compels logistics firms to become more efficient and competitive.

Advantages of Digitized Logistic Systems

Digital technologies not only make logistics management more efficient but also provide a competitive edge. Real-time data sharing and data analytics enable the optimization of logistics processes and quick decision-making.

Impact on Production and Supply Chain Management

In digitized logistics chains, demand increases can be predicted in advance, and production plans can be automatically adjusted accordingly. The use of data analytics and big data contributes to more efficient and effective management of logistics processes.

Digitization has become inevitable for gaining a competitive advantage in the logistics sector. Integrating technologies used in smart manufacturing into logistics management allows for the development of sustainable and green logistics practices. Future studies can contribute to the industry by addressing both digitization and green logistics management.

The Role of Big Data Analytics in Logistics and Supply Chain Management

Big Data Analytics (BDA) Capability

BDA capability involves processing large volumes of data rapidly from various sources to extract valuable insights, providing a competitive advantage. This capability has revolutionized decision-making processes in supply chain management.

Utilization of BDA in Operations and Supply Chain Management

While BDA is increasingly used in marketing and finance, its full potential in improving operational decision-making skills in supply chains has yet to be fully exploited. Operations and supply chain professionals have access to a wide range of data sources, aiding in cost reduction and improving product availability.

Integration and Applications of Artificial Intelligence

The article thoroughly explores potential applications of artificial intelligence (AI) in logistics and supply chain management. It delves into how AI technologies can be used in areas such as increasing efficiency, reducing costs, managing inventory, and demand forecasting. The importance of research on how AI can facilitate dynamic restructuring in logistics processes and respond quickly to market demands and disruptions is emphasized.

Data Management and Security

Successful implementation of AI applications requires high-quality and diverse data. However, many organizations, especially small and medium-sized partners in the supply chain, lack strong data management processes, policies, and technical infrastructure. This situation can hinder the successful integration of AI applications. Additionally, the article addresses the importance of configuring regulatory policies to ensure data privacy and security in cross-border logistics operations.

Technology-Focused Research and Sustainability

The article highlights the importance of technology-focused research in logistics and supply chain management. Research focusing on new technologies such as Blockchain, e-fulfillment systems, and Industry 4.0 trends is emphasized. Furthermore, the article explores how economic growth, environmental renewal, and customer-centric approaches can contribute to sustainability and service-oriented business environments.


Digitization represents a transformative force in the logistics sector. This process contributes significantly to optimizing business processes, gaining a competitive advantage, and achieving sustainability goals in the industry. However, to fully benefit from these advantages, more effort should be directed towards data management, security, and sustainable research focused on new technologies.


  1. OnlineLibrary – The Role of Digitization in the Logistics Sector
  2. Emerald – Impact of Digitization on Production and Supply Chain Management

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