Logistics Cost Management and Control of E‐Commerce Enterprise Under the Background of IoT

Despite the rapid growth of enterprises in China, logistics costs remain a significant challenge, accounting for a large proportion of overall business expenses and hindering corporate development. Effective logistics cost management requires careful coordination of routing and resource allocation for goods transportation. Studies have highlighted several challenges faced by China’s logistics industry, including high transportation costs, complex management processes, and excessive warehousing expenses. To tackle these issues, this paper proposes an optimization model for logistics costs utilizing Internet of Things (IoT) technology. By improving the efficiency and accuracy of each stage in the logistics supply chain through advanced information processing, the model seeks to streamline supply chain operations and reduce transfer costs. Additionally, the paper explores the current state of e‐commerce enterprise growth and future logistics control trends, providing strategic recommendations. These strategies include optimizing logistics information flow through IoT, developing IoT‐based cost management systems for e‐commerce logistics, and integrating logistics cost optimization into the strategic planning of e‐commerce enterprises.

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Publication Details

Journal
Journal of Applied Mathematics
Published
2025-01-01
DOI
https://doi.org/10.1155/jama/7683850
Citations
1
Primary Topic
Urban Transport Systems Analysis
Type
article
Field-Weighted Citation Impact
0.95

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article

Logistics Cost Management and Control of E‐Commerce Enterprise Under the Background of IoT

Zhongyu LIU, Kang Wang
1 citations
Journal of Applied Mathematics
Urban Transport Systems Analysis
0.95
article

Logistics Cost Management and Control of E‐Commerce Enterprise Under the Background of IoT

Zhongyu LIU, Kang Wang
article en
1 citations

Abstract

Despite the rapid growth of enterprises in China, logistics costs remain a significant challenge, accounting for a large proportion of overall business expenses and hindering corporate development. Effective logistics cost management requires careful coordination of routing and resource allocation for goods transportation. Studies have highlighted several challenges faced by China’s logistics industry, including high transportation costs, complex management processes, and excessive warehousing expenses. To tackle these issues, this paper proposes an optimization model for logistics costs utilizing Internet of Things (IoT) technology. By improving the efficiency and accuracy of each stage in the logistics supply chain through advanced information processing, the model seeks to streamline supply chain operations and reduce transfer costs. Additionally, the paper explores the current state of e‐commerce enterprise growth and future logistics control trends, providing strategic recommendations. These strategies include optimizing logistics information flow through IoT, developing IoT‐based cost management systems for e‐commerce logistics, and integrating logistics cost optimization into the strategic planning of e‐commerce enterprises.

Journal of Applied MathematicsVol. 2025(1)
Jiaozuo University (CN)
Department of Education, Fujian Province, Fujian Normal University, National Office for Philosophy and Social Sciences, National Social Science Fund of China, Key Scientific Research Project of Colleges and Universities in Henan Province, Division of Undergraduate Education
Openalex Percentile: Top 26%
Urban Transport Systems Analysis
0.95
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Logistics Cost Management and Control of E‐Commerce Enterprise Under the Background of IoT — Zhongyu LIU, Kang Wang · Journal of Applied Mathematics (2025) | TGRS Research Map | TGRS