{
  "docId": "019de076-987e-7112-a237-ae8ed7de0063",
  "docSlug": "c1ee63aa5036389f08fa0708199fe7c5",
  "documentTitle": "D-Wave | Investor Day Presentation Deck | 133 slides",
  "authorId": "d-wave",
  "authorName": "D-Wave",
  "documentKindSlug": "conference-presentation",
  "documentKindLabel": "Conference presentation",
  "sourceTypeSlug": "investor_relations",
  "sourceTypeLabel": "Investor relations",
  "presentationDate": "2024-01-01 00:00:00",
  "orientation": "landscape",
  "aspectRatio": 1.7777778,
  "pageNumber": 28,
  "pageCount": 132,
  "prevPage": 27,
  "nextPage": 29,
  "slideType": "problem_statement",
  "function": "frame_problem",
  "density": "balanced",
  "nDataPoints": 2,
  "notes": "The slide uses a specific customer case study (Pattison Food Group) to frame a problem solvable by D-Wave's quantum optimization.",
  "elementsJson": null,
  "metadataConfidence": 1,
  "imagePath": null,
  "slideHref": "/slides/019de076-987e-7112-a237-ae8ed7de0063/28",
  "deckHref": "/decks/019de076-987e-7112-a237-ae8ed7de0063",
  "deckJsonHref": "/decks/019de076-987e-7112-a237-ae8ed7de0063.json",
  "deckAnchorHref": "/decks/019de076-987e-7112-a237-ae8ed7de0063#slide-28",
  "components": [
    {
      "bbox": {
        "h": 0.15,
        "w": 0.5,
        "x": 0.05,
        "y": 0.5
      },
      "kind": "callout",
      "text": "Can we create these schedules automatically, while taking scheduling rules (seniority, preferences/history, and policies) into account?",
      "attrs": null,
      "subkind": "primary",
      "toolName": null,
      "toolSlug": null,
      "confidence": null,
      "componentId": "edf54bd8-9236-4061-9d7a-b46a13ac8471",
      "frameworkName": null,
      "frameworkSlug": null
    },
    {
      "bbox": {
        "h": 0.5,
        "w": 0.35,
        "x": 0.6,
        "y": 0.25
      },
      "kind": "image",
      "text": null,
      "attrs": null,
      "subkind": "illustration",
      "toolName": null,
      "toolSlug": null,
      "confidence": null,
      "componentId": "db8799e3-6d63-4e64-9557-a4fab03f60c4",
      "frameworkName": null,
      "frameworkSlug": null
    },
    {
      "bbox": {
        "h": 0.2,
        "w": 0.5,
        "x": 0.05,
        "y": 0.3
      },
      "kind": "list",
      "text": "Over 100 stores with e-Commerce delivery\nNext day delivery\n3-4 people dedicated to manually creating driver schedules = 80 hours effort/week",
      "attrs": null,
      "subkind": "bullet",
      "toolName": null,
      "toolSlug": null,
      "confidence": null,
      "componentId": "b7e13af3-da5d-4855-ba60-30201ea03bef",
      "frameworkName": null,
      "frameworkSlug": null
    },
    {
      "bbox": {
        "h": 0.15,
        "w": 0.7,
        "x": 0.15,
        "y": 0.08
      },
      "kind": "title",
      "text": "E-Commerce Driver Auto-Scheduling (QEDA)",
      "attrs": null,
      "subkind": "headline",
      "toolName": null,
      "toolSlug": null,
      "confidence": null,
      "componentId": "34ad770a-097e-4756-9cb6-e4f7bf5c5904",
      "frameworkName": null,
      "frameworkSlug": null
    }
  ],
  "metrics": [],
  "tools": [
    {
      "name": "Problem Statement Canvas",
      "slug": "problem-statement-canvas",
      "agent": "Architect",
      "layer": "slide",
      "matchId": "8554860f-7e84-41b7-b953-97d6ff5337b9",
      "evidence": "callout/primary: Can we create these schedules automatically, while taking scheduling rules (seniority, preferences/history, and policies) into account?",
      "confidence": 0.7
    }
  ],
  "frameworks": [],
  "arcBeats": [],
  "loops": [],
  "imagePathAlt": null,
  "thumbSrc": null,
  "thumbSrcAlt": null,
  "locked": true
}