E-commerce Logistics Research Articles

Using gravity model to forecast the potential range distance of market share between China and the five central Asian countries for their cross-border e-commerce and relative countermeasures

It is proposed that the development opportunity of ‘One Belt, One Road’ should be grasped and emerging markets should be actively explored; international co-operation in e-commerce should be actively promoted at the national level, so as to create a favorable international regulatory environment for the development of cross-border e-commerce; an all-round, high-efficiency and integrated service system led by the governments of various levels should be constructed to enhance the facilitation of cross-border e-commerce; the construction of cross-border e-commerce logistics infrastructures should be accelerated, and cross-border e-commerce logistics infrastructure should be improved. The government should also speed up the construction of cross-border e-commerce logistics infrastructure, improve the overseas warehousing system and enhance the efficiency of cross-border services; innovate cross-border e-commerce financial services and accelerate the development of blockchain technology; and strengthen the construction of export brands to enhance competitiveness.

An Analysis of The Causes and Impacts of Corporate Mergers in The Logistics Industry: A Case Study of JD Logistics' Acquisition of Deppon Express

This article deeply analyzes the reasons and effects of mergers and acquisitions of enterprises in the logistics industry, and analyzes the mergers and acquisitions of Deppon Express by JD Logistics as a typical case. The article pointed out that in the context of globalization and digitalization, the logistics industry is undergoing profound changes, and the market competition is becoming increasingly fierce. As a leading enterprise in e-commerce logistics, JD Logistics aims to expand the market, enhance competitiveness, achieve resource integration and complementary advantages, and respond to market demand and policy support through the acquisition of Deppon Express. After the merger and acquisition, JD Logistics has significantly improved its logistics network coverage, supply chain service capacity, economic benefits, etc., while Deppon Express has significantly improved its corporate governance, business integration and service efficiency. This merger and acquisition not only enhances the strength of JD Logistics in the large logistics market, but also promotes the concentration of resources and the improvement of service quality in the logistics industry. At the same time, mergers and acquisitions also promote the development of green logistics and show the trend of the logistics industry to sustainable development. Through the case study of the merger and acquisition of Deppon Express by JD Logistics, this article provides valuable experience for the merger and acquisition of enterprises in the logistics industry, and looks forward to the steady development of the logistics industry in the future in resource integration and competitive cooperation.

AI-Driven Optimization of Last-Mile Delivery

The optimization of last-mile delivery represents a critical challenge in modern e-commerce logistics, consuming a substantial portion of total shipping costs. This comprehensive technical article examines how artificial intelligence and machine learning technologies are revolutionizing last-mile delivery operations through advanced route optimization, demand forecasting, and resource allocation. This article synthesizes findings from recent implementations across major logistics providers, demonstrating that AI-driven route optimization systems significantly reduce delivery times and decrease fuel consumption across diverse operational environments. Analysis of machine learning models deployed by leading e-commerce platforms shows marked improvements in delivery time prediction accuracy, achieving unprecedented precision in estimated delivery windows. This article examines key technical components, including dynamic routing algorithms, predictive demand modeling, and real-time fleet management systems, while also addressing implementation challenges such as data quality and system integration. Case studies from major logistics providers demonstrate substantial ROI improvements following AI implementation, with particular emphasis on neural network architectures optimized for urban delivery scenarios. This article provides a technical framework for understanding how AI technologies transform last-mile logistics while offering insights into future developments, including autonomous delivery systems and smart city integration.

E-commerce Logistics Performance and Resilience: The Influence of Inter-Organizational Trust and Organizational Flexibility

This study investigates the role of inter-organizational information and communication technology (Inter-OICT) in enhancing e-commerce logistics performance (LP) and resilience (LR). Grounded in organizational information processing theory (OIPT) and relational exchange theory (RET), the research outlines how Inter-OICT influences LP and LR through the mediating role of inter-organizational trust (Inter-OT) and the moderating effect of organizational flexibility (OFLX). A cross-sectional survey of logistics managers facilitated the testing of these relationships. The findings indicate that Inter-OICT significantly boosts both LP and LR, with Inter-OT serving as a crucial mediator by enhancing the effectiveness of ICT deployments. Additionally, organizational flexibility was found to strengthen the impact of Inter-OICT on both performance metrics. This research underlines the importance of strategic ICT integration and flexible organizational practices in maximizing logistics efficacy and resilience, presenting novel insights into the dynamics of technology adoption in the logistics sector.

Challenges and Opportunities in Cross-Border E-Commerce Logistics: A Systematic Literature Review

Cross-border e-commerce has experienced exponential growth, driven by globalization and advancements in digital technologies. However, logistics remains a critical determinant of success, presenting both significant challenges and promising opportunities. This systematic literature review synthesizes existing research on the logistical intricacies of cross-border e-commerce, identifying key barriers and potential avenues for improvement. Utilizing the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) framework, relevant studies were meticulously selected from Scopus-indexed journals published between 2015 and 2024. The findings reveal challenges such as regulatory compliance, last-mile delivery complexities, high operational costs, technology integration issues, and risk management difficulties. Conversely, opportunities lie in technological innovations like blockchain and artificial intelligence, strategic partnerships, sustainable practices, enhanced customer experience strategies, and policy advocacy. This review provides valuable insights for academics and practitioners seeking to enhance the efficiency and effectiveness of cross-border e-commerce logistics. It highlights areas requiring further research and offers practical recommendations to address existing challenges, thereby facilitating smoother international transactions and fostering global trade growth.

A cuckoo search algorithm to improve a routing problem adapted to last mile e-commerce logistics

A cuckoo search algorithm to improve a routing problem adapted to last mile e-commerce logistics

Local Search Heuristic for the Two-Echelon Capacitated Vehicle Routing Problem in Educational Decision Support Systems

This study focuses on developing a heuristic for Decision Support Systems (DSS) in e-commerce logistics education, specifically addressing the Two-Echelon Capacitated Vehicle Routing Problem (2E-CVRP). The 2E-CVRP involves using Urban Transshipment Points (UTPs) to optimize deliveries. To tackle the complexity of the 2E-CVRP, DSS can employ fast and effective techniques for visual problem-solving. Therefore, the objective of this work is to develop a local search heuristic to solve the 2E-CVRP quickly and efficiently for implementation in DSS. The efficiency of the heuristic is assessed through benchmarks from the literature and applied to real-world problems from a Brazilian e-commerce retailer, contributing to advancements in the 2E-CVRP approach and promoting operational efficiency in e-commerce logistics education. The heuristic yielded promising results, solving problems almost instantly, for instances in the literature on average in 1.06 s, with average gaps of 6.3% in relation to the best-known solutions and, for real problems with hundreds of customers, in 1.4 s, with gaps of 8.3%, demonstrating its effectiveness in achieving the study’s objectives.

E-Commerce Logistics and Its Impact on Entreprenuership Development : Adapting to Rapid Growth and Change

E-Commerce Logistics and Its Impact on Entreprenuership Development : Adapting to Rapid Growth and Change

E-Commerce Logistics and Its Impact on Entreprenuership Development : Adapting to Rapid Growth and Change

E-Commerce Logistics and Its Impact on Entreprenuership Development : Adapting to Rapid Growth and Change

Elevating logistics performance: harnessing the power of artificial intelligence in e-commerce

PurposeArtificial intelligence (AI) usage improves e-commerce logistics efficiency. However, many actors can play significant roles, such as supply chain consistency (SCC), last-mile logistics (LML) performance and collaboration and coordination among logistics firms. This study aims to assess how SCC and LML performance mediate and collaboration and coordination moderate the relationship between AI usage and logistics efficiency.Design/methodology/approachA structured questionnaire was used to collect the data. A total of 245 valid responses were received from Indian e-commerce businesses. The data were then analysed using AMOS v25 and structural equational modelling using SPSS for regression, PROCESS macro for mediation and moderated mediation analysis.FindingsThe findings show that AI usage independently impacts logistics efficiency, with SCC and last-mile delivery performance as mediating variables. Collaboration and coordination among logistic firms are also critical moderators in enhancing AI’s efficacy in logistic operations. The study findings suggest the integration of AI into logistic operations and provide implications to managers on the urgency of fostering a collaborative and synchronised environment to utilise the full potential of AI in e-commerce businesses.Originality/valueThis study not only contributes to the field of logistics theory by presenting empirical data on the various ramifications of AI but also offers practical guidance for logistics firms, particularly those operating in developing economies, on how to strategically employ AI to enhance operational efficiency and attain a competitive advantage in the era of e-commerce logistics in the digital age.

Dynamic Programming Implementation for Delivery Route Optimization in E-Commerce Logistics

The rapid growth of e-commerce has created new challenges in logistics optimization, particularly in terms of delivery route efficiency. This research develops a dynamic programming model to optimize delivery routes in the context of e-commerce in Indonesia. Using a modified Vehicle Routing Problem with Time Windows (VRPTW) approach, we implemented an algorithm that considers various factors such as distance, time, and cost. Simulations using synthetic datasets showed efficiency improvements of 18.7% in travel distance and 22.3% in delivery time compared to conventional methods. Field trials with an e-commerce partner resulted in a 21.5% reduction in travel distance and an increase in on-time delivery rate from 87% to 94%. Sensitivity analysis revealed that the algorithm's performance is most affected by demand fluctuations and changes in traffic conditions. Implementation challenges include integration with existing systems and consideration of workforce impact. This research opens avenues for further development in algorithm scalability, integration of sustainability factors, and adaptation to various geographical contexts, demonstrating significant potential for improving e-commerce logistics efficiency in the future.

Research on the Development of Logistics Performance of E-Commerce Enterprises and its Influencing Mechanism on Customer Satisfaction

With the booming development of e-commerce industry, logistics performance has become one of the key factors of competitiveness for e-commerce enterprises, directly related to the customer satisfaction and market position of the enterprises. Under the background of digitalization and intelligentization, online shopping has become one of the main ways of daily shopping for consumers. As an important link in the transaction chain of e-commerce, logistics efficiency and quality directly affect the shopping experience and loyalty of consumers. This paper conducts an in-depth analysis of the current situation of logistics performance of e-commerce enterprises, the mechanism analysis of how it affects customer satisfaction, and explores solutions to the problem. Through the mechanism analysis, it is found that e-commerce enterprises can improve logistics performance by enhancing logistics speed, improving logistics service quality, reducing costs and increasing efficiency, strengthening green logistics, and enhancing cross-border e-commerce logistics capabilities. This can improve customer satisfaction, and the paper proposes suggestions such as optimizing logistics networks, enhancing logistics service training, fine-tuning management, promoting environmentally friendly packaging, optimizing transportation methods, and improving cross-border e-commerce logistics networks.

Cargo Volume Forecasting for Logistics Sorting Centers Based on Random Forest Model

With the rapid development of logistics industry, logistics sorting center, as a key node in e-commerce logistics network, its cargo volume prediction and personnel scheduling strategy are of great significance to improve operational efficiency and reduce costs. The purpose of this study is to deeply analyze the cargo volume data of 57 sorting centers through machine learning method, establish an accurate cargo volume prediction model, and optimize the personnel scheduling strategy based on the prediction results. In this study, we preprocess the historical cargo data, including missing value filling, time series conversion and feature construction. Then, the random forest model was used to carry out fitting analysis on the cargo volume data of different sorting centers. By comparing the evaluation indexes such as mean square error (MSE), root mean square error (RMSE) and mean absolute error (MAE), the superiority of random forest model compared with neural network, support vector regression and linear regression models was verified. This study not only improves the accuracy of cargo volume forecast, but also realizes the reasonable allocation of human resources, and provides scientific decision support for the operation and management of logistics sorting center.

A Study on Strategic Approaches to Efficient Sustainable Logistics

With the fast evolution of eCommerce, logistics is vitally involved in ensuring-with due efficiency-the movement of goods from the seller to the buyer. In an environmental sense, such efficiency would mean cost and time optimization, matching expectations of swift, timely product delivery. However, with growing environmental concerns, the need for sustainable logistics becomes no less critical. This research will dwell on strategic paths to balancing logistics efficiency with sustainability, leveraging state-of- the-art technologies such as Artificial Intelligence and automated route optimization. The study further proposes the integration of electric vehicles and green logistics practices in the sector of e-commerce, especially in the Delhi NCR region. It will quantify, through qualitative analysis, the effect that these techniques have on the environmental performance of sustainable logistics-such as carbon footprint reduction and general economic efficiency. Key Words eCommerce logistics, Sustainable logistics, Artificial intelligence (AI), Automation in logistics, Electric vehicles, Carbon emissions reduction, Route optimization, Eco-friendly packaging, Logistics efficiency, Environmental sustainability

Управление логистическими процессами в трансграничной электронной коммерции

In the context of the globalization of the economy and the development of cross-border e-commerce, the importance of cross-border logistics is increasing, allowing for an effective process of product distribution. The issues of organizing transport and logistics processes during the delivery of goods within the framework of the functioning of cross-border e-commerce are discussed. The main aspects of the development of e-commerce logistics and its impact on the trading business have been studied. An analysis of the cross-border e-commerce market in Russia is carried out. It is noted that currently the global logistics industry is in an unstable environment. The main directions and trends in the development of logistics services in modern conditions are considered and the specifics of adapting the process of goods distribution within the framework of cross-border e-commerce to changes in the external environment are investigated. The distinctive features of e-commerce logistics have been studied in the context of its impact on the trading business, which allows for increased efficiency of logistics processes such as procurement, transportation, order processing, inventory and warehouse management, packaging and labeling. It has been proven that with the development of information technology and telecommunication networks, as well as increasing demand in the field of online trading, the need for effective logistics support is significantly increasing, and delivery speed is becoming increasingly important to provide quality service to consumers. The advantages of e-commerce are substantiated from the perspective of subjects of trade and logistics activities, which include the global nature of customer coverage and the convenience of inter-subject interaction, reduction of operating costs of trade and logistics activities, expanded opportunities for marketing and advertising support, increased level of automation of e-commerce logistics management processes.

Enhancing Supply Chain Management Through Artificial Intelligence: A Case Study of JD Logistics

With the intensification of global economic competition, enterprises face the challenge of improving the supply chain management efficiency, and AI technology, as an emerging field in computer science, can provide effective solutions. As a leading e-commerce logistics service provider in China, JD Logistics has accumulated a wealth of logistics technology capabilities and digital transformation experience within and outside the JD Group. Using JD Logistics as a case study, this paper discusses the application of AI technology in supply chain management and its impact on enterprise responsiveness and operational efficiency. AI technology has significantly improved the supply chain operational efficiency and responsiveness of JD Logistics by applying intelligent supply chain planning, predictive analysis and intelligent decision-making. The study systematically summarizes the key role of AI technology in optimizing supply chain management through a literature review and specific case studies, providing an important reference and practical experience for enterprises to achieve digital transformation.

패션산업 전자상거래에서 물류 서비스가 고객만족도에 미치는 영향

Purpose: A s t he c ommerce m arket r apidly c hanges d ue t o t echnological a dvancements and consumer preferences, the competitiveness of logistics services is highlighted. This study analyzes the factors of logistics in fashion industry e-commerce that affect customer satisfaction. The goal is to provide insights to fashion companies to develop logistics strategies. Research design, data, and methodology: In the research model for empirical analysis, the logistics service factors are reliability, economy, convenience, and speed. Data obtained via questionnaire were analyzed for multiple regression and moderating effects. Results: As a result of the analysis, the logistics service factors that provide economy, convenience, and speed had a significant impact on customer satisfaction. There were significant differences in customer satisfaction based on gender and age. Conclusions: Fashion companies must provide a variety of logistics services, and need to improve customer satisfaction through continuous service improvement.

Parcel-Locker-Sharing Model for E-Commerce Logistics Service Providers

In the e-commerce last-mile delivery process, the asset operators (logistics service providers who own parcel locker facilities) support their delivery service with parcel lockers, while the non-asset operators (logistics service providers without parcel lockers) perform door-to-door delivery. Due to demand fluctuation, asset operators’ parcel-locker slots may be left vacant, while non-asset operators are stuck with the high-cost door-to-door service. The exclusiveness of parcel-locker usage reduces resource utilization and service efficiency in last-mile delivery. Therefore, this paper proposes a parcel-locker-sharing model in which these two parties share the parcel-locker capacity in last-mile delivery. The asset operator rents the unused parcel lockers to the non-asset operator by charging a rental fee,while the non-asset operator rents the parcel lockers for delivery to save logistics costs. The motivation of this alliance is to increase the profits of both parties and that of the total supply chain. This study establishes the supply-chain profit model for the parcel-locker-sharing framework and finds that the profit or loss depends on the comparison of the operation cost savings and delivery-cost savings. A numerical analysis is conducted to validate the final result. The research further suggests the optimal rental quantity and price interval. This paper is the first to study the operational mechanism of sharing the parcel locker between two distinct types of logistics service providers and to offer recommendations for industrial application.

Assessing the spatial footprint of e-commerce logistics differentiating the types of warehouses: The case of Amazon in the United States

Assessing the spatial footprint of e-commerce logistics differentiating the types of warehouses: The case of Amazon in the United States

The Key Factors for Improving Returns Management in E-Commerce in Indonesia from Customers’ Perspectives—An Analytic Hierarchy Process Approach

The rapid growth of e-commerce has led to an increase in the number of product returns in supply chains, which is both environmentally and economically challenging. E-commerce companies need to effectively manage product returns, as this has a direct impact on their reputation and consumer experience. Reducing returns is key to maintaining sustainable practices for online product sales. A significant increase in e-commerce transactions is also evident in Indonesia, which is the fourth largest country in the world. Despite the very large size of the market, research on e-commerce in the business-to-customer (B2C) market in Indonesia is underrepresented in the literature. The purpose of this paper is to identify key factors from the customer perspective that influence product returns in reverse logistics in Indonesian e-commerce. The novelty of this study stems from the focus on the customer perspective on product returns in the B2C market when shopping online and the spatial scope. Due to the uncertainty inherent in multi-criteria decision making, the analytic hierarchy process (AHP) method was used to rank factors and potential solutions derived from a critical literature review. As a result, the study provides a ranking of factors and alternatives for managing e-commerce returns in Indonesia. The results show that among Indonesian e-commerce customers, product quality (QP) was rated the highest, while (Pu) was rated the lowest. In terms of the alternatives that are the most suitable for improving the customer experience of e-commerce product returns in Indonesia, a clear returns policy (CRP) scored the highest, while the merchandise catalog (Cat) was rated as the lowest priority.