Adapting to Evolving Requirements: Agentic AI for Retail Supply Chain Operations
This work forms requirement-driven adaptation as the joint selection of an intervention route and an admissible module-level change, and proposes a graph-constrained agentic framework in which domain agents expose admissible reformulation interfaces and a central processor searches over bounded intervention paths.