The rapid evolution of e-commerce is reshaping global retail practices, demanding more agile, responsive, and customer-centric supply chains. Traditional logistics methods often struggle to manage the high volume, intricate dynamics, and fast pace of online retail. This paper explores how Artificial Intelligence (AI) fundamentally transforms e-commerce logistics, emphasizing areas such as demand forecasting, inventory management, warehouse automation, transportation, last-mile delivery, and reverse logistics. AI technologies—spanning machine learning, robotics, predictive analytics, and natural language processing—empower online retailers to operate more efficiently, reduce operational costs, boost customer satisfaction, build resilience, and make informed, data-driven decisions.
Swamy et al. (Mon,) studied this question.
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