Application of Big Data in Logistics

Moldagulova Aiman Nickolayevna, Ryskhan Satybaldiyeva, А.А. Куандыков

2020

Closed access Metadata (CSL-JSON)
DOI 10.1145/3410352.3410785
Data confidence 70 medium
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Abstract

This article discusses the prospect of using big data to optimize logistic processes. An analytical model for the collection and analysis of data from various sources was built. Firstly, the evolution and features of both logistics and big data were have been analyzed using the systematic review method. This was followed by discussions about the implementation of big data in logistics and the results of optimization. The article summarizes the main effects of the use of Big Data in logistics such as informatization; efficiency; quality of service; and promoting technical modernization.