{
  "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": 35,
  "pageCount": 65,
  "prevPage": 34,
  "nextPage": 36,
  "slideType": "org_design",
  "function": "present_framework",
  "density": "dense",
  "nDataPoints": 0,
  "notes": "The slide uses a hub-and-spoke diagram to represent the squad structure.",
  "elementsJson": [
    "headline_text",
    "process_diagram",
    "paragraph",
    "callout_box",
    "photo"
  ],
  "metadataConfidence": 1,
  "imagePath": null,
  "slideHref": "/slides/019dd923-5ca1-7489-b638-a36c9aff2eaf/35",
  "deckHref": "/decks/019dd923-5ca1-7489-b638-a36c9aff2eaf",
  "deckJsonHref": "/decks/019dd923-5ca1-7489-b638-a36c9aff2eaf.json",
  "deckAnchorHref": "/decks/019dd923-5ca1-7489-b638-a36c9aff2eaf#slide-35",
  "components": [
    {
      "bbox": null,
      "kind": "callout",
      "text": "Hard-to-find talent may be provided through tech partners and vendors — but leaders will likely want to ensure they are also building in-house skills and knowledge via these relationships.",
      "attrs": null,
      "subkind": null,
      "toolName": "Visual emphasis",
      "toolSlug": "visual-emphasis",
      "confidence": null,
      "componentId": "019dd951-cded-738a-abbe-203193fc633f",
      "frameworkName": null,
      "frameworkSlug": null
    },
    {
      "bbox": {
        "h": 0.4,
        "w": 0.3,
        "x": 0.05,
        "y": 0.18
      },
      "kind": "diagram",
      "text": "Sample squad structure",
      "attrs": null,
      "subkind": "hub-spoke",
      "toolName": null,
      "toolSlug": null,
      "confidence": null,
      "componentId": "7aec32e2-6f4a-481b-bde6-52cb087d5bdf",
      "frameworkName": null,
      "frameworkSlug": null
    },
    {
      "bbox": {
        "h": 0.35,
        "w": 0.25,
        "x": 0.05,
        "y": 0.2
      },
      "kind": "framework",
      "text": null,
      "attrs": null,
      "subkind": "instance",
      "toolName": null,
      "toolSlug": null,
      "confidence": null,
      "componentId": "7c72c1b8-77d2-4486-bc6a-d2392977e55b",
      "frameworkName": null,
      "frameworkSlug": null
    },
    {
      "bbox": {
        "h": 0.7,
        "w": 0.4,
        "x": 0.54,
        "y": 0.195
      },
      "kind": "image",
      "text": "Fashion model in quilted coat",
      "attrs": null,
      "subkind": "photo",
      "toolName": null,
      "toolSlug": null,
      "confidence": null,
      "componentId": "18b8da59-3e45-41ed-bef8-389e96402024",
      "frameworkName": null,
      "frameworkSlug": null
    },
    {
      "bbox": {
        "h": 0.3,
        "w": 0.45,
        "x": 0.05,
        "y": 0.65
      },
      "kind": "paragraph",
      "text": "While full outsourcing is rarely optimal, partnerships with platforms, tools and talent providers are often part of brands' plans for gen AI adoption. Given few businesses might have the resources to train models from scratch, we see two main approaches to tech delivery: First, brands can fine-tune third-party foundation models... Second, brands can consider deploying specialised applications that build on existing foundation models...",
      "attrs": null,
      "subkind": "paragraph",
      "toolName": null,
      "toolSlug": null,
      "confidence": null,
      "componentId": "60d1c915-f371-4415-a2ed-da3aacd5b21a",
      "frameworkName": null,
      "frameworkSlug": null
    },
    {
      "bbox": {
        "h": 0.08,
        "w": 0.4,
        "x": 0.54,
        "y": 0.09
      },
      "kind": "paragraph",
      "text": "Hard-to-find talent may be provided through tech partners and vendors — but leaders will likely want to ensure they are also building in-house skills and knowledge via these relationships.",
      "attrs": null,
      "subkind": "paragraph",
      "toolName": null,
      "toolSlug": null,
      "confidence": null,
      "componentId": "f4d7c1c1-8207-4a87-b8b0-f3aa5326549a",
      "frameworkName": null,
      "frameworkSlug": null
    },
    {
      "bbox": {
        "h": 0.05,
        "w": 0.4,
        "x": 0.05,
        "y": 0.08
      },
      "kind": "title",
      "text": "A generative AI team should contain specialised squad members and executive sponsors",
      "attrs": null,
      "subkind": "headline",
      "toolName": null,
      "toolSlug": null,
      "confidence": null,
      "componentId": "63632add-a55c-4d15-8dc5-01e28e24e4de",
      "frameworkName": null,
      "frameworkSlug": null
    }
  ],
  "metrics": [],
  "tools": [],
  "frameworks": [
    {
      "name": "hub-spoke",
      "slug": null,
      "matchId": "6e75feb0-1419-41db-9214-db197783e9c2",
      "evidence": "The squad structure is visualized as a central hub with surrounding specialized roles.",
      "confidence": 0.9
    }
  ],
  "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
}