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Abstract
This paper explores future avenues of research for revenue management in last-mile delivery. First, we review earlier efforts in this field, which have focused primarily on the problem of attended home deliveries (AHD) of groceries. Second, based on a topological classification of last-mile delivery characteristics, we identify relevant extensions inspired in current industry trends. Finally, we outline how existing models should be extended for these new problems and discuss promising streams of future research.