A Hybrid Agentic AI Framework for Intelligent Supply Chain Analytics
Read the original on arXiv AI →The Flow has not summarised this story yet — read it at arXiv AI.
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The paper presents a graph‑constrained agentic framework that enables large language models to adapt retail supply‑chain decision modules to evolving requirements. It jointly selects intervention routes and admissible module changes, validating candidates against downstream KPIs. Experiments with 100 warehouse requirements and three LLMs show the framework improves end‑to‑end success from 72–76% to 79–83%.
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