{
  "docId": "019de074-02be-75fe-ba89-d286e984482b",
  "docSlug": "0751ea78f4edac7735750710a4f7e5ce",
  "documentTitle": "Lemonade | Investor Day Presentation Deck | 125 slides",
  "authorId": "lemonade",
  "authorName": "Lemonade",
  "documentKindSlug": "conference-presentation",
  "documentKindLabel": "Conference presentation",
  "sourceTypeSlug": "investor_relations",
  "sourceTypeLabel": "Investor relations",
  "presentationDate": "2022-11-01 00:00:00",
  "orientation": "landscape",
  "aspectRatio": 1.7777778,
  "pageNumber": 39,
  "pageCount": 125,
  "prevPage": 38,
  "nextPage": 40,
  "slideType": "other",
  "function": "present_solution",
  "density": "balanced",
  "nDataPoints": 1,
  "notes": "The slide includes a navigation sidebar indicating this is part of a larger section on Loss Ratio, specifically focusing on Claims/Fraud/LAE.",
  "elementsJson": null,
  "metadataConfidence": 0.9,
  "imagePath": null,
  "slideHref": "/slides/019de074-02be-75fe-ba89-d286e984482b/39",
  "deckHref": "/decks/019de074-02be-75fe-ba89-d286e984482b",
  "deckJsonHref": "/decks/019de074-02be-75fe-ba89-d286e984482b.json",
  "deckAnchorHref": "/decks/019de074-02be-75fe-ba89-d286e984482b#slide-39",
  "components": [
    {
      "bbox": {
        "h": 0.35,
        "w": 0.35,
        "x": 0.083,
        "y": 0.315
      },
      "kind": "image",
      "text": null,
      "attrs": null,
      "subkind": "map",
      "toolName": null,
      "toolSlug": null,
      "confidence": null,
      "componentId": "83e4b949-5fab-4dd6-b5be-d1489161e683",
      "frameworkName": null,
      "frameworkSlug": null
    },
    {
      "bbox": {
        "h": 0.208,
        "w": 0.078,
        "x": 0.028,
        "y": 0.044
      },
      "kind": "other",
      "text": "G&A Marketing Support Fraud LAE Claims",
      "attrs": null,
      "subkind": "unclassified",
      "toolName": null,
      "toolSlug": null,
      "confidence": null,
      "componentId": "1bf9d92e-e0a7-4b2c-b28d-09b8812a5a4d",
      "frameworkName": null,
      "frameworkSlug": null
    },
    {
      "bbox": {
        "h": 0.08,
        "w": 0.511,
        "x": 0.406,
        "y": 0.423
      },
      "kind": "paragraph",
      "text": "Computer vision and Natural Language Processing (NLP) detect risky homes for underwriting review, with a hit rate of ~80%.",
      "attrs": null,
      "subkind": "paragraph",
      "toolName": null,
      "toolSlug": null,
      "confidence": null,
      "componentId": "198fe1f9-fb4b-457c-9514-a651085c41c0",
      "frameworkName": null,
      "frameworkSlug": null
    },
    {
      "bbox": {
        "h": 0.044,
        "w": 0.147,
        "x": 0.426,
        "y": 0.064
      },
      "kind": "title",
      "text": "Loss Ratio",
      "attrs": null,
      "subkind": "headline",
      "toolName": null,
      "toolSlug": null,
      "confidence": null,
      "componentId": "46280ce1-c54a-4dab-af6a-4bdf9523e5df",
      "frameworkName": null,
      "frameworkSlug": null
    }
  ],
  "metrics": [],
  "tools": [],
  "frameworks": [],
  "arcBeats": [
    {
      "to": 40,
      "from": 21,
      "beatId": "e088242d-96ca-49e7-80b8-69f93bfbdb5d",
      "arcName": "AIDA",
      "arcSlug": "aida",
      "beatName": "Desire",
      "beatSlug": "aida-desire",
      "evidence": "The presentation builds desire with a clear explanation of Lemonade's competitive advantage and customer-centric approach",
      "position": 2,
      "confidence": 0.8,
      "parentBeatName": "Evidence",
      "parentBeatSlug": "evidence"
    }
  ],
  "loops": [
    {
      "to": 40,
      "from": 20,
      "name": "Logic Chain",
      "slug": "01-logic-chain",
      "bestFor": "Skeptical audiences, controversial recommendations, rigorous analysis",
      "matchId": "d89597a2-285d-4cb8-842e-a26cc125d1e0",
      "evidence": "The presentation clearly explains the logic behind Lemonade's use of AI and machine learning",
      "position": 0,
      "objective": "How does Lemonade's use of AI and machine learning drive efficiency and customer experience?",
      "structure": "Premise 1 (Accepted truth) -> Premise 2 (Observed fact) -> Therefore... (Inevitable conclusion)",
      "confidence": 0.7,
      "description": "Build an airtight chain of logic where each premise leads inevitably to the conclusion"
    }
  ],
  "imagePathAlt": null,
  "thumbSrc": null,
  "thumbSrcAlt": null,
  "locked": true
}