| Creators: |
Engel, Tobias and Cenk, Gökhan and John, Jessel and Andersson, Jonas |
| Title: |
Enhancing supply chain resiliency and competitiveness through AI-based demand forecasting to mitigate the bullwhip effect |
| Item Type: |
Conference or Workshop Item |
| Event Title: |
Automotive Logistics and Supply Chain (ALSC) Digital Strategies Europe |
| Event Location: |
Munich, Germany |
| Event Dates: |
27. - 28. November 2025 |
| Projects: |
TTZ Leipheim |
| Date: |
27 November 2025 |
| Divisions: |
Informationsmanagement |
| Abstract (ENG): |
This workshop explored how AI-based demand forecasting can enhance supply chain resiliency and competitiveness by mitigating the bullwhip effect. Participants collaborated across departments and teams to accurately plan for future demands, using trusted data and forecasting methods to achieve better forecasts under uncertain market conditions and global supply chain complexities. They also assessed digital tools and solutions that enable greater accuracy from stakeholders while maintaining data sovereignty. |
| Forthcoming: |
No |
| Language: |
English |
| Citation: |
Engel, Tobias and Cenk, Gökhan and John, Jessel and Andersson, Jonas
(2025)
Enhancing supply chain resiliency and competitiveness through AI-based demand forecasting to mitigate the bullwhip effect.
In: Automotive Logistics and Supply Chain (ALSC) Digital Strategies Europe, 27. - 28. November 2025, Munich, Germany.
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