A Hybrid Agentic AI Framework for Intelligent Supply Chain Analytics
3.40T1 sourcearXiv cs.MA
Source record
Published by arXiv cs.MA (T1 source). The original is at https://arxiv.org/abs/2609.13561.
Pipeline notes
The summary and note below are generated by the signal pipeline — they are Beyond Desk’s reading, not quotations from the source.
SummaryA multi-agent architecture for supply chain analytics in which a coordinator agent delegates sub-tasks (database querying, KPI analysis, demand forecasting, performance diagnosis) to specialized agents, supporting both exploratory and deterministic workflows. Evaluated on multi-echelon inventory, achieving 90% accuracy with roughly fourfold token reduction versus a single-agent baseline.
Why it mattersReports measured tradeoffs of a coordinator-plus-specialist agent design on a real operational domain, with case studies on suboptimality detection and forecast optimization.
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