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HARNESSING ARTIFICIAL INTELLIGENCE IN E-COMMERCE: A CRITICAL REVIEW
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DOI：10.17270/J.LOG.001317.png)
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Abstract
En 中文
Background: The COVID-19 pandemic triggered a sharp increase in demand for online shopping, as traditional distribution channels increasingly gave way to digital platforms in response to changing consumer behavior. This shift created a highly competitive environment for businesses seeking to enter or expand within the online market. Consequently, e-commerce logistics and postal logistics providers were compelled to adapt rapidly to meet evolving e-customers' requirements. Traditional logistics models proved inadequate, prompting scholars and practitioners to explore how emerging technologies-particularly artificial intelligence (AI)-could be integrated into existing processes to enable more adaptive and efficient approaches to urban logistics. The aim of this paper is to synthesize existing literature on AI applications in e-commerce logistics, focusing on four operational clusters: pickup and delivery, parcel sorting, address verification, and reverse logistics. Accordingly, this study provides a comprehensive state-of-the-art review of AI applications, a critical gap analysis, and actionable insights for future AI-driven innovations in e-commerce logistics. Methods: This review adopts a narrative approach, drawing on a targeted selection of relevant and recent literature published between 2019 and 2025. Key insights were identified through academic databases and analyzed to classify AI methods across selected e-commerce logistics operations. The objective is to summarize current trends, identify research gaps, and inform future research directions. Results: The review reveals that many AI methods remain underexplored or unused across several e-commerce logistics operations. In addition, multiple critical operational and performance parameters are insufficiently addressed in the existing literature. Conclusions: This study highlights significant underexplored opportunities for applying artificial intelligence in ecommerce logistics. The findings underscore the need for deeper investigation and novel AI-driven solutions to enhance the efficiency, resilience, and sustainability of e-commerce logistics systems.
Keywords:
Artificial intelligence
e-commerce
pickup and delivery
parcel sorting
address verification
reverse logistics
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