The paper “Potentials of generative AI in logistics and supply chain management: a guiding review on applications and future research directions” presents a comprehensive systematic analysis of 43 academic articles examining the application of GenAI in various LSCM functions.

Last Friday, it was our pleasure to welcome Yannick Männersdorfer, Business Analyst at PicNic, to our course on Strategic Production Management.

Researchers at TU Darmstadt and Saarland University demonstrate how an optical motion capture system optimised by machine learning can significantly improve the accuracy of motion tracking – even in the presence of visual obstructions that normally limit such cost-effective solutions.

Two new ECR Retail Loss reports explain how to define inventory record accuracy properly – and how to embed it as a strategic capability to drive sales and customer satisfaction

Inaccurate inventory records cause severe disruptions in the retail sector: they reduce product availability, cause shrink and waste, and ultimately lower sales. It is one of the most expensive and underrated problems in retail operations. Our new research looks at different ways for measuring inventory record inaccuracies (IRI) and how retail companies can embed IRI management in their organizational processes.

Hosted by the Institute of Production and Supply Chain Management (PSCM), the event explored human-centred and technology-driven decision support in logistics — focusing on how human expertise and emerging technologies can jointly enhance decision-making in logistics and supply chain management.