In order to cope with competition and sustain business performance within a digital environment, grocery providers need to identify and establish suitable fulfillment models. During the last two decades, a huge amount of fulfillment concepts has emerged, emphasizing different focus points. With this contribution, we aim to structure the field of e-grocery fulfillment and support retailers in choosing or refining profitable fulfillment models. Based on a systematic literature review and several fulfillment instances, we developed a taxonomy with 20 dimensions and 61 characteristics. Subsequently, a cluster analysis was employed to identify six concept archetypes, serving as useful basis for digital grocery business. Ultimately, our results provide a foundation for both academia and retail to advance the knowledge of e-service fulfillment models.

The negative effects of traffic, such as air quality problems and road congestion, put a strain on the infrastructure of cities and high-populated areas. A potential measure to reduce these negative effects are grocery home deliveries (e-grocery), which can bundle driving activities and, hence, result in decreased traffic and related emission outputs. Several studies have investigated the potential impact of e-grocery on traffic in various last-mile contexts. However, no holistic view on the sustainability of e-grocery across the entire supply chain has yet been proposed. Therefore, this paper presents an agent-based simulation to assess the impact of the e-grocery supply chain compared to the stationary one in terms of mileage and different emission outputs. The simulation shows that a high e-grocery utilization rate can aid in decreasing total driving distances by up to 255 % relative to the optimal value as well as CO 2 emissions by up to 50 %.

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