{
  "docId": "019dd923-5ca1-7489-b638-a36c9aff2eaf",
  "docSlug": "2be50a4d610e63fc",
  "documentTitle": "The State of Fashion 2024",
  "authorId": "McKinsey",
  "authorName": "McKinsey",
  "documentKindSlug": "consulting-deck",
  "documentKindLabel": "Consulting deck",
  "sourceTypeSlug": "strategy_consulting",
  "sourceTypeLabel": "Strategy consulting",
  "presentationDate": null,
  "orientation": "portrait",
  "aspectRatio": 0.75,
  "pageNumber": 34,
  "pageCount": 65,
  "prevPage": 33,
  "nextPage": 35,
  "slideType": "industry_trends",
  "function": "present_framework",
  "density": "balanced",
  "nDataPoints": 0,
  "notes": "The slide uses a value chain framework to categorize AI applications.",
  "elementsJson": [
    "headline_text",
    "paragraph",
    "process_diagram",
    "data_table"
  ],
  "metadataConfidence": 1,
  "imagePath": null,
  "slideHref": "/slides/019dd923-5ca1-7489-b638-a36c9aff2eaf/34",
  "deckHref": "/decks/019dd923-5ca1-7489-b638-a36c9aff2eaf",
  "deckJsonHref": "/decks/019dd923-5ca1-7489-b638-a36c9aff2eaf.json",
  "deckAnchorHref": "/decks/019dd923-5ca1-7489-b638-a36c9aff2eaf#slide-34",
  "components": [
    {
      "bbox": null,
      "kind": "callout",
      "text": "Generative AI can add value across the fashion value chain",
      "attrs": null,
      "subkind": null,
      "toolName": "Visual emphasis",
      "toolSlug": "visual-emphasis",
      "confidence": null,
      "componentId": "019dd951-cded-738a-abbf-631def0f75fc",
      "frameworkName": null,
      "frameworkSlug": null
    },
    {
      "bbox": {
        "h": 0.45,
        "w": 0.45,
        "x": 0.05,
        "y": 0.48
      },
      "kind": "framework",
      "text": "Value chain stages: Product development, Supply chain, Marketing, Sales, Store operations, Organisation",
      "attrs": null,
      "subkind": "instance",
      "toolName": null,
      "toolSlug": null,
      "confidence": null,
      "componentId": "9ddc6e84-3a6c-4905-a721-6a978da96bc3",
      "frameworkName": null,
      "frameworkSlug": null
    },
    {
      "bbox": null,
      "kind": "framework",
      "text": "Value Chain",
      "attrs": null,
      "subkind": null,
      "toolName": "Structuring frame",
      "toolSlug": "structuring-frame",
      "confidence": null,
      "componentId": "019dd951-cded-738a-abbf-67a359056ff3",
      "frameworkName": null,
      "frameworkSlug": null
    },
    {
      "bbox": {
        "h": 0.85,
        "w": 0.4,
        "x": 0.55,
        "y": 0.09
      },
      "kind": "paragraph",
      "text": "Generative AI (gen AI) offers a plethora of opportunities to build new capabilities across the fashion value chain...",
      "attrs": null,
      "subkind": "paragraph",
      "toolName": null,
      "toolSlug": null,
      "confidence": null,
      "componentId": "7bf4d5b2-2c0a-4684-b7c5-50345313b77e",
      "frameworkName": null,
      "frameworkSlug": null
    },
    {
      "bbox": {
        "h": 0.12,
        "w": 0.42,
        "x": 0.05,
        "y": 0.09
      },
      "kind": "title",
      "text": "Generative artificial intelligence has the potential to augment, accelerate and automate fashion business capabilities",
      "attrs": null,
      "subkind": "action-title",
      "toolName": null,
      "toolSlug": null,
      "confidence": null,
      "componentId": "8267ce35-a634-424e-b53e-eea3ca6af0cb",
      "frameworkName": null,
      "frameworkSlug": null
    },
    {
      "bbox": {
        "h": 0.03,
        "w": 0.35,
        "x": 0.05,
        "y": 0.41
      },
      "kind": "title",
      "text": "Generative AI can add value across the fashion value chain",
      "attrs": null,
      "subkind": "headline",
      "toolName": null,
      "toolSlug": null,
      "confidence": null,
      "componentId": "553f79f7-e263-4f19-8050-b3f8613ee8e6",
      "frameworkName": null,
      "frameworkSlug": null
    }
  ],
  "metrics": [],
  "tools": [
    {
      "name": "Value chain",
      "slug": "value-chain",
      "agent": null,
      "layer": "slide",
      "matchId": "108161bf-3d59-4b43-b25f-689602a9897d",
      "evidence": "Generative AI can add value across the fashion value chain",
      "confidence": 0.8
    }
  ],
  "frameworks": [
    {
      "name": "value-chain",
      "slug": null,
      "matchId": "c142fae6-2dcc-4ffd-b2fe-d9cbba0eda39",
      "evidence": "The slide explicitly maps AI use cases across the 'fashion value chain'.",
      "confidence": 1
    }
  ],
  "arcBeats": [
    {
      "to": 65,
      "from": 31,
      "beatId": "82ce288e-4997-4d2d-8514-cae101b21056",
      "arcName": "The Sparkline",
      "arcSlug": "sparkline",
      "beatName": "Opportunities and Solutions",
      "beatSlug": "sparkline-new-bliss",
      "evidence": "The document concludes by highlighting opportunities for growth and innovation, as well as potential solutions for fashion companies.",
      "position": 2,
      "confidence": 0.8,
      "parentBeatName": "Resolution",
      "parentBeatSlug": "resolution"
    }
  ],
  "loops": [
    {
      "to": 35,
      "from": 32,
      "name": "Hypothesis Test",
      "slug": "42-hypothesis-test",
      "bestFor": "Strategy validation, due diligence, research presentations",
      "matchId": "f8871b29-d858-45c7-b08e-ffec1e2ab5f3",
      "evidence": "The document discusses the use of generative AI in fashion business capabilities and its potential to augment, accelerate, and automate processes.",
      "position": 2,
      "objective": "To explore the potential of generative AI in the fashion industry.",
      "structure": "The Hypothesis -> Test 1 (Supports/Refutes) -> Test 2 (Supports/Refutes) -> Conclusion (Validated/Pivoted)",
      "confidence": 0.6,
      "description": "State a hypothesis upfront, then systematically prove or disprove it with evidence"
    }
  ],
  "imagePathAlt": null,
  "thumbSrc": null,
  "thumbSrcAlt": null,
  "locked": true
}