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    "headline": "Three Agents Sorted a Million-Item Price Ladder",
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    "dek": "A deployed retail taxonomy system reported 0.83 F1 for grouping product lines across a large catalog.",
    "summary": "A deployed retail taxonomy system reported 0.83 F1 for grouping product lines across a large catalog.",
    "body_text": "Specialized agents identify attributes, extract multimodal values and apply hierarchical grouping. The authors report above 90 percent precision in food and consumables and 80.2 percent assignment accuracy in unstructured general merchandise; results come from the described enterprise deployment.",
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    "tags": [
      "retail",
      "pricing",
      "multi-agent systems"
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      "source_id": "source-2026-08-15-018",
      "title": "arXiv preprint 2608.12674",
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    "title": "Three Agents Sorted a Million-Item Price Ladder",
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