Cross-Border E-Commerce Platform Logistics and Supply Chain Network Optimization Based on Deep Learning

Abstract

E-commerce and logistics are symbioses with each other, but cross-border e-commerce (CBEC) still cannot break away from cross-border logistics. With the progress of economic internationalization, economic and trade ties around the world have become closer and closer, and the level of international business exchanges has been improved. The rise of multinational e-commerce has also caused unprecedented difficulties to multinational logistics and supply chain management. The application of deep neural networks in various fields provides opportunities for cross-border e-commerce platforms to solve these problems. The existing logistics distribution model cannot keep up with the development of CBEC and has become a constraint and bottleneck for the development of CBEC. Therefore, this article introduces deep learning neural network to cross-border logistics and supply chain based on the analysis of the existing cross-border logistics model and supply chain model and the status quo of e-commerce development. It optimizes the existing cross-border logistics and supply chain network in order to break through the current bottleneck in the development of CBEC. This paper shows through research that introducing deep learning neural networks into CBEC logistics and supply chain can improve the efficiency of logistics and supply chain. Compared with the previous efficiency, the efficiency of network optimization can be increased to about 50%, reducing the cost of cross-border logistics and supply chain. The research in this article has great theoretical and guiding significance for the development of CBEC.

Research on Optimization Strategies for Closed-Loop Supply Chain Management Based on Deep Learning Technology

“…Sardar et al (2021) propose a Machine Learning (ML) approach for on-demand forecasting under smart supply chain management. Guo and Zou (2022) introduce deep learning neural network to cross-border logistics and supply chain based on the analysis of the existing cross-border logistics model and supply chain model and the status quo of e-commerce development. They show that introducing deep learning neural networks into CBEC logistics and supply chain can improve the efficiency of logistics and supply chain.…”

Digital strategies in the performance of the global supply chain in the period of 2010-2022

“…Guo y Zou indican principalmente que, una cadena de suministro se caracteriza por la integración colaborativa entre diferentes fases del proceso productivo con la finalidad de poseer una fiabilidad y flexibilidad de entrega asegurando la satisfacción del cliente [8]. No obstante, el modelo tradicional de la cadena de suministro se basa principalmente en las limitaciones tradicionales de la industria, la eficiencia de la producción en masa, la necesidad de trabajadores de ensamblaje de bajo costo y alto volumen [9].…”

“…Actualmente, la gestión respecto a la cadena de suministro es una de las más grandes problemáticas que enfrentan las empresas; siendo el desarrollo del tipo de gestión un factor que afecta en todas las actividades de una organización [10]. De esta manera, en la logística transfronteriza se presentan diversos problemas que en conjunto priorizan el análisis sobre los plazos de entrega, los costos del suministro, el servicio postventa y el intercambio de información, lo cual, dificulta la eficiencia en el desarrollo de la cadena de suministro [8]. Adicional a ello, debido a la gran velocidad de cambios respecto a diversos ámbitos en el mercado y en los clientes, las empresas necesitan mejorar los sistemas de gestión de calidad en las cadenas de suministro [10].…”

Research on the Symbiotic Model of Supply Chains Based on the Logistic Expansion Model for E-Commerce Platforms

“…An extremely important part of the platform supply chain requires solving the problem of information asymmetry that exists among internal members and using new technologies to solve the information asymmetry between e-commerce platforms [9,10] and cross-border e-commerce platforms [11,12] to provide the best decision for enterprises. After considering the influence of the external environment on the decision-making of the internal subjects of the system [13], the problem of equilibrium can be solved and equilibrium can be reached within the system by applying digital technology [14,15], deep learning neural networks [16,17] and other technologies to improve the efficiency of the supply chain. On the basis of the ecological perspective, the problem of synergistic cooperation between the platform for cross-border e-commerce and the topics of supply and demand [18] and cross-border logistics companies [19] is resolved.…”