Purpose: Advanced Planning Systems (APS) can contribute to improved decision-making and enhanced efficiency along complex food supply chains. This paper pre-sents a systematic literature review of supply chain planning (SCP) in the food indus-try. In particular, the literature on three increasingly important planning tasks sup-ported by APS is examined, namely Supply Chain Network Design, Sales & Opera-tions Planning and Production Planning & Scheduling. Methodology: A literature review is conducted by systematically collecting the ex-isting literature published between 1998 and 2020 and classifying it based on three planning tasks supported by APS modules (Supply Chain Network Design, Sales & Operations Planning and Production Planning & Scheduling). Furthermore, research papers are categorized according to the product under consideration, geographic re-gion and method. Findings: Multiple models for SCP practices have been developed. The modelling lit-erature is fragmented around specific challenges faced in food supply chains. Empir-ical literature including case studies on the implementation of APS is sparse. The findings suggest that developed models for the three examined planning tasks are only implemented to a limited extent in practice. Originality: This paper focuses on three planning tasks that are of increasing rele-vance for the food industry. The literature review can help practitioners within the food industry to get insights regarding the opportunities offered by the three soft-ware modules examined in this paper. Further research should be conducted in these areas to make literature on SCP more practically relevant for managers.