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1. Introduction
The arrival of digital technology is considered a primary force behind the rapid growth of e-commerce, raising it to new heights (Govindan et al., 2024). The sector is quickly growing and at the forefront of technological changes, boosting productivity and ease of use. The continual adaptation of new technologies has promoted societal progress and innovative management practices, creating new avenues for trade, communication and technological collaboration (Fang et al., 2023). The escalating growth of e-commerce businesses has highlighted the crucial role of logistics in ensuring operational efficiency and customer satisfaction (Hong et al., 2019; Kawa and Zdrenka, 2023). Consequently, the rising demand for prompt and reliable service has necessitated the logistics industry to adopt new technologies (Xia et al., 2020). For example, Grover and Ashraf (2023) and Chen et al. (2021) highlighted that using artificial intelligence (AI) in logistics, including quick delivery systems, warehouse automation and predictive analytics, significantly enhances operations excellence. This paper examines the intricate relationship between AI and the effectiveness of logistics in e-commerce. It examines how advanced technology, such as AI, creates new opportunities for success in a rapidly evolving digital marketplace (Micu et al., 2021; Javaid et al., 2022). The synergy of AI in logistics is considered crucial, underpinning the profitability and sustainability of e-commerce businesses in the digital age.
Many studies reveal AI’s incredible effect on logistics efficiency. For example, the study by Xia et al. (2020) shows the potential of AI-powered predictive analytics to optimise inventory management and predict demand, resulting in decreased waste and enhanced responsiveness. Similarly, the significance of AI in the automation of warehouse operations is reported by Chen et al. (2021), who demonstrate how AI-generated algorithms can simplify order processing and accelerate delivery durations. These innovations go beyond improving functional efficiency, resulting in cost savings and increased customer satisfaction. Prominent companies like Amazon have successfully integrated AI into their logistical processes by utilising advanced algorithms to optimise routes and make shipment predictions. This has resulted in substantial reductions in both delivery times and cost savings. Furthermore, a significant advancement in product return management using AI, where sophisticated algorithms examine return trends and suggest preemptive actions, has been observed (Fang et al., 2023).
Despite the extensive...