Given the continuing e-commerce boom, home delivery services are becoming increasingly important.
From a logistics perspective, attended home deliveries, which require the customer to be present when
the purchased goods are delivered, are particularly challenging. To facilitate the delivery, the service
provider and the customer typically agree on a specific time window. This step involves the customer
directly in the service creation process. In designing the service offering, service providers thus face
complex trade-offs between customer preferences and the efficiency of service execution. In this
paper, we review these trade-offs and the corresponding literature, focusing on prescriptive analytics,
for the case of attended home delivery. We develop a framework organized around different planning
levels and demand management levers. Based on this framework, we review available models in the
academic literature and discuss research gaps and future research directions
