Towards a Framework for AI Applications in Intralogistics

The field of intralogistics is ideal for applying artificial intelligence (AI). However, there is currently no comprehensive framework for AI-enabled intralogistics that considers decision making layers. This paper aims to fill that gap by providing context, reviewing recent publications, and identifying key elements for framework development. It explores how AI can be used in intralogistics system design, planning and operations, at both physical and virtual levels. Our focus is on engineering pragmatic systems within the intralogistics domain, with a framework comprising human interaction, intelligent agents, and devices. The paper also addresses training data for AI-enabled intralogistics.