Digital transformation and artificial intelligence are at the core of how we understand modern management, logistics, and supply chains. They are fundamentally changing how individuals and organizations communicate, operate, and make decisions.
For today’s managers, competitive advantage depends on the ability to turn data into insights, to understand and improve processes, and to deploy AI where it creates real value. This includes generative AI, foundation models, and AI agents to automate complex processes. KLU’s Operations Mindset leans into this transformation, contributing to the adoption of the newest technologies in businesses and supply chains.
At KLU, research and teaching in digital transformation & AI combine three perspectives:
- the technical foundations of data science, machine learning, generative AI, and process mining,
- the managerial lens on digital transformation, organizational change, and responsible AI adoption,
- the applied context of logistics, supply chains, and operations, in which these technologies unfold their impact.
Students and executive participants learn to identify where AI and analytics are genuinely useful, to evaluate their limitations critically, and to lead digital initiatives that are both technically sound and organizationally viable. Our research explores both how organizations navigate digital transformation and develop AI-based methods to improve operations and supply chains.
With its study programs and research, KLU's mission in the field of digital transformation & AI is to prepare future business leaders who understand and master the digital revolution.
AI only creates value once organizations understand their processes. A broken process automated with AI is simply a faster broken process. Our mission is to give future leaders both the technical depth and the process understanding to make AI work.
Henrik Leopold, Professor of Data Science and Business Intelligence
Research Projects
| Accelerating the Path Towards Physical Internet - SENSE Automated process weakness identification based on social media posts Autonomous Logistics in Rural Areas (AuLoRa) Blockchain for the Circular Economy CargoSurfer ChainLog: Identifikation und Bewertung von Einsatzpotenzialen für Blockchains in Logistik und Supply Chain Management DISCO - Data-driven, Integrated, Syncromodal, Collaborative and Optimized urban freight meta model for new generation of urban logistics and planning with data sharing at European Living Labs Fab City: Decentralized Digital Innovation Processes for Urban Value Creation - Subproject on "Citizen Innovation" HANSEBLOC: Hanseatische Blockchain-Innovationen für Logistik und Supply Chain Management | Idea evaluation in open, "democratized" innovation Impact Measurement Framework for the Réseau Logistique Humanitaire Pooling Resources Initiative Internet of Food and Farm 2020 SMart Event ForeCast for Seaports (SMECS) Security in Food Production and Logistics with Distributed Ledger Technology - NutriSafe Semantic Process Discovery from User Interaction Logs (UserLogs) Smart Urban Retail Services – Integrated Service System for Crosschannel-Trade in the Cities of the Future (SURTRADE) Towards Universal Health Coverage: Strengthening healthcare supply chains to mitigate the impact of epidemics - Phase 3 URBANE - Upscaling innovative green urban logistics solutions through multi-actor collaboration and physical internet-inspired last mile deliveries |
