Artificial Intelligence in Collaborative Data Sharing for Intra-Company Logistics
CONTENTS 1 Motivation.................................................................................................................... 127 2 Three Ways AI Scales Value in Collaborative Logistics Data Sharing................................ 129 3 Operational Integration through Intelligent Data Provisioning....................................... 130 4 AI-Supported Analytics and Optimization...................................................................... 131 5 Extension to Adjacent Scenarios(“ One Step Further”)................................................... 132
6 Business Benefits and Ecosystem Impact....................................................................... 134 |
6.1 |
Operational and Strategic Value Realization..................................................................... 134 |
6.2 |
Value Creation and Value Capture Across Ecosystem Participants..................................... 135 |
6.3 |
Conditions and Trade-Offs for Sustained Ecosystem Value Creation.................................. 135 |
6.4 |
Overall Impact on AI Application and Digital Twin Capabilities.......................................... 136 |
7 Discussion..................................................................................................................... 136 |
7.1 |
Limitations and Boundary Conditions............................................................................... 136 |
7.2 |
Lessons Learned and Implications for AI Application and Digital Twins.............................. 137 |
8 Conclusions & Outlook.................................................................................................. 138 9 References.................................................................................................................... 138
ANNEX A........................................................................................................................... 141 A. 1 Screenshot of MCP-Integration Into GenAI....................................................................... 141
Acknowledgements........................................................................................................... 141
FIGURES
Figure 2-1: Three Ways of AI Value Contribution in the Logistics Testbed............................................... 129
TABLES
No table of figures entries found.
126