Abstract

This study examines this paper on how the integration of logistics systems is said to be one of the significant determinants in improving the efficiency of supply chain. Lee and Whang (2005) postulated that sharing information among all the levels across supply chains improves decision-making as well as visibility. Stock and Boyer, on the other hand, identify its part in operational efficiency, such as better inventory management and reduced lead times. Waller and Fawcett indicate the revolutionary role of digital technologies, including predictive analytics and big data, in building a more responsive, data-driven approach to logistics. Yildirim et al. demonstrate that integration leads to greater responsiveness and flexibility, critical for volatile demand industries. Therefore, alignment of logistics integration aligns stakeholders' strategic aims with an aim to optimize the flow of goods and services, as Christopher specifies. Coyle et al. (2016) focuses more on the adoption of advanced technologies such as IoT and real-time data analytics to enhance efficiency while Klaus et al. (2017) highlighted some technologies such as RFID and AI-driven platforms for quicker decision-making and resource optimization.

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