supply chain analytics

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arXiv paper proposes hybrid agentic AI framework for supply chain analytics

A new arXiv preprint describes a hybrid agentic AI framework aimed at supply chain analytics, targeting tasks such as database querying, KPI analysis, demand forecasting, and performance diagnosis. The authors argue that planners struggle to use these analytics effectively for decision making, and propose combining agent-based components to handle the workflow. The work appears as a new submission without peer review at this stage.

agents/supply-chain/research/arxiv