{
  "docId": "019dd923-5de0-76bd-a167-bdd95398840a",
  "docSlug": "e41ff3a00abb49f4",
  "documentTitle": "Rethinking the course to manufacturing’s future",
  "authorId": "Accenture",
  "authorName": "Accenture",
  "documentKindSlug": "consulting-deck",
  "documentKindLabel": "Consulting deck",
  "sourceTypeSlug": "strategy_consulting",
  "sourceTypeLabel": "Strategy consulting",
  "presentationDate": null,
  "orientation": "landscape",
  "aspectRatio": 1.778,
  "pageNumber": 22,
  "pageCount": 27,
  "prevPage": 21,
  "nextPage": 23,
  "slideType": "case_study",
  "function": "illustrate_case",
  "density": "overcrowded",
  "nDataPoints": 5,
  "notes": "Includes references to specific performance metrics (30-50% cost reduction, 40% energy reduction, 300M savings, 20% energy reduction achieved, 40% production time reduction).",
  "elementsJson": [
    "photo",
    "paragraph"
  ],
  "metadataConfidence": 1,
  "imagePath": null,
  "slideHref": "/slides/019dd923-5de0-76bd-a167-bdd95398840a/22",
  "deckHref": "/decks/019dd923-5de0-76bd-a167-bdd95398840a",
  "deckJsonHref": "/decks/019dd923-5de0-76bd-a167-bdd95398840a.json",
  "deckAnchorHref": "/decks/019dd923-5de0-76bd-a167-bdd95398840a#slide-22",
  "components": [
    {
      "bbox": null,
      "kind": "callout",
      "text": "Renault has already reduced energy consumption per vehicle produced by 20%. At the same time, production time has dropped by 40%, marking a major leap in efficiency and responsiveness.",
      "attrs": null,
      "subkind": null,
      "toolName": "Visual emphasis",
      "toolSlug": "visual-emphasis",
      "confidence": null,
      "componentId": "019dd951-a674-768f-a071-7ae6b3c127b6",
      "frameworkName": null,
      "frameworkSlug": null
    },
    {
      "bbox": {
        "h": 0.72,
        "w": 0.38,
        "x": 0.1,
        "y": 0.14
      },
      "kind": "image",
      "text": "Digital rendering of robotic arms working on wireframe car chassis on an assembly line.",
      "attrs": null,
      "subkind": "illustration",
      "toolName": null,
      "toolSlug": null,
      "confidence": null,
      "componentId": "4b9a28b4-ecf5-4b49-8ee0-49e1d42cf5bb",
      "frameworkName": null,
      "frameworkSlug": null
    },
    {
      "bbox": null,
      "kind": "metric",
      "text": "production time reduction: 40%",
      "attrs": null,
      "subkind": "primary",
      "toolName": "Quantification",
      "toolSlug": "quantification",
      "confidence": null,
      "componentId": "019dd951-a674-768f-a071-7efac9998fec",
      "frameworkName": null,
      "frameworkSlug": null
    },
    {
      "bbox": {
        "h": 0.15,
        "w": 0.44,
        "x": 0.52,
        "y": 0.56
      },
      "kind": "paragraph",
      "text": "To achieve this, the company developed and implemented a manufacturing efficiency program. The plan was to deploy industrial digital twins across its factories, creating a real-time virtual replica of its entire production ecosystem—including workflows, machinery, and logistics operations. The initiative also introduced AI-driven operations control, carbon traceability and predictive quality management.",
      "attrs": null,
      "subkind": "paragraph",
      "toolName": null,
      "toolSlug": null,
      "confidence": null,
      "componentId": "417b213d-ac7c-40e6-84e0-54b1eafbcef0",
      "frameworkName": null,
      "frameworkSlug": null
    },
    {
      "bbox": {
        "h": 0.08,
        "w": 0.44,
        "x": 0.52,
        "y": 0.73
      },
      "kind": "paragraph",
      "text": "The impact has been immediate. Renault has already reduced energy consumption per vehicle produced by 20%. At the same time, production time has dropped by 40%, marking a major leap in efficiency and responsiveness.",
      "attrs": null,
      "subkind": "paragraph",
      "toolName": null,
      "toolSlug": null,
      "confidence": null,
      "componentId": "84f7a789-bfeb-4c50-ac66-d8197a4ef8a2",
      "frameworkName": null,
      "frameworkSlug": null
    },
    {
      "bbox": {
        "h": 0.22,
        "w": 0.44,
        "x": 0.52,
        "y": 0.29
      },
      "kind": "paragraph",
      "text": "Renault offers an example of a company that is taking purposeful steps now to thrive in the future. Faced with rising competition from manufacturers in Asia-Pacific and ongoing cost volatility, Renault set an ambitious goal: cut production costs by 30-50%, reduce energy consumption per vehicle produced by 40% and transition from legacy systems to fully data-driven manufacturing. The company also aimed to achieve approximately €300+ million in savings by 2026.",
      "attrs": null,
      "subkind": "paragraph",
      "toolName": null,
      "toolSlug": null,
      "confidence": null,
      "componentId": "c46e8bba-772b-4e23-9567-3d648e43bfb3",
      "frameworkName": null,
      "frameworkSlug": null
    },
    {
      "bbox": {
        "h": 0.02,
        "w": 0.09,
        "x": 0.03,
        "y": 0.05
      },
      "kind": "title",
      "text": "CASE STUDY",
      "attrs": null,
      "subkind": "headline",
      "toolName": null,
      "toolSlug": null,
      "confidence": null,
      "componentId": "3b5822b5-73ec-4546-bd17-e913c517fe82",
      "frameworkName": null,
      "frameworkSlug": null
    },
    {
      "bbox": {
        "h": 0.03,
        "w": 0.44,
        "x": 0.52,
        "y": 0.23
      },
      "kind": "title",
      "text": "Renault's move to re-engineer manufacturing for the future",
      "attrs": null,
      "subkind": "headline",
      "toolName": null,
      "toolSlug": null,
      "confidence": null,
      "componentId": "b0c48bf8-7d5d-41d3-89f0-ed7344411382",
      "frameworkName": null,
      "frameworkSlug": null
    }
  ],
  "metrics": [
    {
      "metricRaw": "production time reduction",
      "numberRaw": "40%",
      "numberKind": "percent",
      "actionTitle": "Renault’s move to re-engineer manufacturing for the future",
      "calloutText": "Renault has already reduced energy consumption per vehicle produced by 20%. At the same time, production time has dropped by 40%, marking a major leap in efficiency and responsiveness.",
      "numberScale": null,
      "numberValue": 40,
      "metricFamily": "other",
      "numberCurrency": null
    }
  ],
  "tools": [
    {
      "name": "Concrete Language",
      "slug": "concrete-language",
      "agent": "Storyteller",
      "layer": "slide",
      "matchId": "019dd95a-0e8a-77b7-b1fc-7428816b7731",
      "evidence": "Quantified deltas: -40% production time, -20% energy/vehicle, EUR300M savings by 2026",
      "confidence": 90
    },
    {
      "name": "Credibility Transfer",
      "slug": "credibility-transfer",
      "agent": "Storyteller",
      "layer": "slide",
      "matchId": "019dd95a-0e8a-77b7-b1fc-78133f1b2948",
      "evidence": "Named case study (Renault) transfers brand credibility to the recommendation",
      "confidence": 88
    },
    {
      "name": "Emotional Appeal",
      "slug": "emotional-appeal",
      "agent": "Storyteller",
      "layer": "slide",
      "matchId": "019dd95a-0e8a-77b7-b1fc-80850067a73a",
      "evidence": "Vivid 'company taking purposeful steps now to thrive in the future' framing",
      "confidence": 55
    },
    {
      "name": "Picture Superiority Effect",
      "slug": "picture-superiority-effect",
      "agent": "Designer",
      "layer": "slide",
      "matchId": "019dd95a-0e8a-77b7-b1fc-7fc41c4bf3bb",
      "evidence": "Digital-twin imagery of Renault's production line dominates left half",
      "confidence": 75
    }
  ],
  "frameworks": [],
  "arcBeats": [
    {
      "to": 22,
      "from": 22,
      "beatId": "019dd95a-0680-7418-820f-6063a53c90ed",
      "arcName": "The Consultant's Gambit",
      "arcSlug": "consultants-gambit",
      "beatName": "Evidence & Proof",
      "beatSlug": "consultants-gambit-evidence-proof",
      "evidence": "Renault case: -40% production time, -20% energy, EUR300M savings",
      "position": 4,
      "confidence": 85,
      "parentBeatName": "Evidence",
      "parentBeatSlug": "evidence"
    },
    {
      "to": 23,
      "from": 21,
      "beatId": "019dd95a-0682-776c-8e31-7cc9c7d874ad",
      "arcName": "The Triple Take",
      "arcSlug": "triple-take",
      "beatName": "The Action (Now What)",
      "beatSlug": "triple-take-the-action-now-what",
      "evidence": "Three next steps + Renault proof + conclusion CTA",
      "position": 3,
      "confidence": 60,
      "parentBeatName": "Resolution",
      "parentBeatSlug": "resolution"
    }
  ],
  "loops": [
    {
      "to": 22,
      "from": 21,
      "name": "Before After",
      "slug": "21-before-after",
      "bestFor": "Product demos, process improvements, ROI justification",
      "matchId": "019dd95a-07fe-70ce-8d39-7140215775ec",
      "evidence": "p.21 three next steps, p.22 Renault before/after: -40% production time, -20% energy, EUR300M savings",
      "position": 6,
      "objective": "Three-step approach + Renault proof of measurable delta",
      "structure": "The Old Way (Pain) -> The Moment of Change -> The New Way (Glory) -> The Measurable Delta",
      "confidence": 75,
      "description": "Show the dramatic contrast between the old way and the new way through side-by-side comparison"
    }
  ],
  "imagePathAlt": null,
  "thumbSrc": null,
  "thumbSrcAlt": null,
  "locked": true
}