Supply Chain and Logistics Data Challenge (SCLDC)
🔔 Registration Now Open!
Click here to register your team
Registration is open until 30 June 2025. All interested participants are welcome — and it’s completely free! We look forward to seeing your innovative ideas in the challenge!
🔔 Final Datasets Released!
The final datasets for all competition tracks are now available. Visit the corresponding competition page to access them and start developing your solutions! For any issue when accessing the datasets, please feel free to contact Dr Liming Xu via email: lx249 [at] cam [dot] ac [dot] uk.
The Supply Chain AI Lab (SCAIL) is excited to announce the second Supply Chain and Logistics Data Challenge (SCLDC'25) will be held in the 11 IFAC Conference on Manufacturing Modelling, Management and Control (MIM'25), Trondheim, Norway, 30 June - 3 July 2025. This year's challenge is organised in collaboration with the Centre for Autonomous and Intelligent Systems (CAIS) at the University of Huddersfield, and Supply Chain and Operations Management at The Berlin School of Economics and Law, and Production Management Group at the NTNU - Norwegian University of Science and Technology.
Key Dates
- 18 June 2025 — Final datasets for competition release
- 02 July 2025, 5 PM (Local Time, GMT+2) — Deadline for solution submission
- 03 July 2025 — Competition awardees announcement
Organising Team
- Dr Liming Xu, Supply Chain AI Lab, University of Cambridge
- Dr George Baryannis, Department of Computer Science, University of Huddersfield
- Prof Dmitry Ivanov, Department of Business and Economics, Berlin School of Economics and Law
- Prof Alexandra Brintrup, Supply Chain AI Lab, University of Cambridge
- Prof Fabio Sgarbossa, Norwegian University of Science and Technology
- Dr Hossein Arshad, Norwegian University of Science and Technology
What’s New in SCLDC'25?
The 2025 challenge features three competition segments, including a newly introduced complex network analysis segment—expanding beyond last year’s scope. Participants are welcome to join one, two, or all three segments, either individually or in teams.
In each competition, we will select best teams in achieving best performance and innovation to awarded with Certificate of Achievement and Certificate of Innovation, respectively.
Important: At least one member of each participating team must be registered to attend MIM'25 in order to take part in the challenge.
👉 Click the "Read more" button below to explore details of each competition segment and how to get involved. For any questions, please feel free to contact Dr Liming Xu via email: lx249 [at] cam [dot] ac [dot] uk.
Delivery Delay Prediction
Develop a model to predict whether deliveries will be early, on-time, or delayed using real-world supply chain data. Submissions will be ranked by Macro F1 score, with awards for both top performance and innovation.
Multi-Depot Capacitated VRP
Optimise truck routes across multiple depots to minimize total travel distance using a dataset of 100 synthetic instances. Top solutions will be evaluated on accuracy, efficiency, and vehicle space utilisation, with awards for best performance and innovation.
Complex Network Analysis
Identify the most critical and vulnerable firms in a real-world supply network. Use creative methods to reveal hidden risks and impacts—your ideas could help shape the future of resilient supply chains.