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arXiv — cs.AI

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A Hybrid Agentic AI Framework for Intelligent Supply Chain Analytics

Efficient utilization of supply chain analytics for decision making remains a significant challenge for planners, as critical tasks such as database querying, key performance indicator (KPI) analysis, demand forecasting, and performance diagnosis require heterogeneous expertise…

arXiv — cs.AIBy: Xian Yeow Lee, Teppei Inoue, Haiyan Wang, Chetan GuptaSeptember 15, 2026 (Sep 15)
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  • Efficient utilization of supply chain analytics for decision making remains a significant challenge for planners, as critical tasks such as database querying, key performance indicator (KPI) analysis, demand forecasting, and performance diagnosis require heterogeneous expertise…
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A Hybrid Agentic AI Framework for Intelligent Supply Chain Analytics

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