{
  "docId": "019dd923-5eff-723e-9be6-36d9c4dd8bdf",
  "docSlug": "10b908741046fa95",
  "documentTitle": "2025 Q4 Results Presentation",
  "authorId": "Air-France-KLM",
  "authorName": "Air France-KLM",
  "documentKindSlug": "consulting-deck",
  "documentKindLabel": "Consulting deck",
  "sourceTypeSlug": "strategy_consulting",
  "sourceTypeLabel": "Strategy consulting",
  "presentationDate": null,
  "orientation": "landscape",
  "aspectRatio": 1.778,
  "pageNumber": 19,
  "pageCount": 35,
  "prevPage": 18,
  "nextPage": 20,
  "slideType": "kpi_dashboard",
  "function": "summarize",
  "density": "balanced",
  "nDataPoints": 35,
  "notes": "The table provides a breakdown of capacity, unit revenue, total revenue, operating result, and operating margin for Network, Cargo, Transavia, and Maintenance segments.",
  "elementsJson": [
    "headline_text",
    "data_table",
    "footnote"
  ],
  "metadataConfidence": 1,
  "imagePath": null,
  "slideHref": "/slides/019dd923-5eff-723e-9be6-36d9c4dd8bdf/19",
  "deckHref": "/decks/019dd923-5eff-723e-9be6-36d9c4dd8bdf",
  "deckJsonHref": "/decks/019dd923-5eff-723e-9be6-36d9c4dd8bdf.json",
  "deckAnchorHref": "/decks/019dd923-5eff-723e-9be6-36d9c4dd8bdf#slide-19",
  "components": [
    {
      "bbox": {
        "h": 0.1,
        "w": 0.7,
        "x": 0.05,
        "y": 0.85
      },
      "kind": "disclaimer",
      "text": "Air France-KLM passenger network + cargo = network. 1) Capacity is defined as Available Seat Kilometers (ASK)... 2) Unit revenues = revenue per ASK... 3) Revenue is the third-party revenues, margin calculated on the total revenues",
      "attrs": null,
      "subkind": null,
      "toolName": null,
      "toolSlug": null,
      "confidence": null,
      "componentId": "20179be1-29b9-4cd0-aeb8-5476bf07e88d",
      "frameworkName": null,
      "frameworkSlug": null
    },
    {
      "bbox": null,
      "kind": "metric",
      "text": "Operating margin: 4.8%",
      "attrs": null,
      "subkind": "primary",
      "toolName": "Quantification",
      "toolSlug": "quantification",
      "confidence": null,
      "componentId": "019dd952-5be9-7345-ace6-13fb37f58a39",
      "frameworkName": null,
      "frameworkSlug": null
    },
    {
      "bbox": {
        "h": 0.55,
        "w": 0.9,
        "x": 0.05,
        "y": 0.25
      },
      "kind": "table",
      "text": "Q4 2025 vs Q4 2024 performance table",
      "attrs": null,
      "subkind": "kpi",
      "toolName": null,
      "toolSlug": null,
      "confidence": null,
      "componentId": "64b96c4a-6270-4930-9835-e2a13677dc79",
      "frameworkName": null,
      "frameworkSlug": null
    },
    {
      "bbox": {
        "h": 0.1,
        "w": 0.9,
        "x": 0.05,
        "y": 0.08
      },
      "kind": "title",
      "text": "A MIXED UNIT REVENUE TREND, ROBUST PASSENGER NETWORK, CARGO SOFTER AS EXPECTED",
      "attrs": null,
      "subkind": "action-title",
      "toolName": null,
      "toolSlug": null,
      "confidence": null,
      "componentId": "e2d94147-01f0-4f10-8a8e-b2740bfc7ea8",
      "frameworkName": null,
      "frameworkSlug": null
    }
  ],
  "metrics": [],
  "tools": [
    {
      "name": "Contrast Pairs",
      "slug": "contrast-pairs",
      "agent": "Storyteller",
      "layer": "loop",
      "matchId": "019dd95a-1a13-73b8-b331-22fc9c244769",
      "evidence": "Passenger strength explicitly paired against cargo softness.",
      "confidence": 70
    },
    {
      "name": "Action Titles",
      "slug": "action-titles",
      "agent": "Architect",
      "layer": "slide",
      "matchId": "019dd95a-1a13-73b8-b331-1d50a54bc7f8",
      "evidence": "Title contrasts: 'robust passenger network, cargo softer as expected'.",
      "confidence": 85
    }
  ],
  "frameworks": [],
  "arcBeats": [
    {
      "to": 22,
      "from": 1,
      "beatId": "019dd95a-07a7-7579-bd62-67a6c35a483a",
      "arcName": "The Triple Take",
      "arcSlug": "triple-take",
      "beatName": "The Facts (What)",
      "beatSlug": "triple-take-the-facts-what",
      "evidence": "FY highlights and FY+Q4 financial results dominate pp 1-22.",
      "position": 1,
      "confidence": 82,
      "parentBeatName": "Setup",
      "parentBeatSlug": "setup"
    }
  ],
  "loops": [
    {
      "to": 22,
      "from": 18,
      "name": "Zoom In",
      "slug": "06-zoom-in",
      "bestFor": "Technical deep-dives, case studies, detailed analysis",
      "matchId": "019dd95a-08f8-7619-ac2b-8079be0bd49f",
      "evidence": "p18 Q4 group → p19 unit-revenue mix → p20-21 segment + region/cabin grid → p22 unit cost detail.",
      "position": 3,
      "objective": "Zoom from Q4 group result down through unit revenue, region/cabin mix and unit cost drivers",
      "structure": "The Big Picture -> Key Area of Focus -> Specific Detail -> Implication",
      "confidence": 78,
      "description": "Start broad, then progressively focus on specific details that prove your point"
    }
  ],
  "imagePathAlt": null,
  "thumbSrc": null,
  "thumbSrcAlt": null,
  "locked": true
}