Exploring the Application of Databases and Data Science in Logistics Enterprises

Guangzhou Foreign Language School, 511455 Guangzhou, China

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Abstract

This paper explores the innovative applications of databases in the logistics industry through a literature review and clarifies the background and significance of information digitization in contemporary logistics enterprises. It systematically sorts out several innovative data modeling methods proposed by researchers, and based on the feasibility, limitations and application prospects of these methods, conducts analysis and evaluation on databases such as My Structured Query Language (MySQL) and Neo4j graph database used in the data models. The paper finds that existing models have certain shortcomings, mainly reflected in the mismatch between database performance or operation principles and the datasets required in the contemporary era. Targeting the characteristics of different models, the paper puts forward relevant improvement suggestions: for example, introducing databases more suitable for storing and calling logistics information and combining them with the databases cited by researchers; or optimizing the index algorithms for logistics distribution routes. Finally, the paper looks forward to the prospects of the practical application of big data models in the logistics field in the future.