Guide AR/VR E-commerce : Essayage Virtuel et Visualisation 3D

const virtualTryOnFashion = {
  use_cases: [
    'Try sunglasses (face detection)',
    'Try makeup (face detection)',
    'Try hats (head detection)',
    'Try jewelry (hand detection)',
    'Try handbags (arm detection)',
    'Try clothing on full body'
  ],

  technology: {
    face_detection: 'Apple ARKit / Google ARCore',
    hand_detection: 'MediaPipe or similar',
    clothing_simulation: 'Custom 3D models',
    performance: 'Real-time, <100ms latency required'
  },

  business_impact: {
    conversion_lift: '+25-40%',
    return_rate_reduction: '-20-30%',
    confidence_increase: '+60%',
    average_order_value: '+10-15%'
  },

  examples: [
    'Sephora Virtual Artist (makeup)',
    'Warby Parker Home Try-On (glasses)',
    'Zara AR Try-On (clothing)',
    'MAC Makeup Try-On (lipstick)'
  ]
};

const product3DVisualization = {
  formats: {
    interactive_3d_model: {
      technology: 'Three.js, Babylon.js',
      capabilities: [
        'Rotate freely',
        'Zoom in/out',
        'Change colors/materials',
        'Examine from all angles'
      ],
      benefits: [
        'Replaces 20+ 2D photos',
        'Reduces photography costs',
        'Improves understanding'
      ],
      examples: ['Ikea 3D products', 'Wayfair 3D furniture']
    },

    ar_placement: {
      technology: 'ARKit (iOS) / ARCore (Android)',
      capability: 'Place virtual object in real space',
      use_cases: [
        'Furniture: See sofa in living room',
        'Decor: See painting on wall',
        'Electronics: See speaker on desk'
      ],
      impact: [
        'Confidence: +70%',
        'Returns: -40%',
        'Conversion: +30-45%'
      ]
    },

    virtual_showroom: {
      technology: 'WebGL or VR headset',
      experience: 'Walk through virtual store',
      use_cases: [
        'Premium furniture/design',
        'Luxury goods',
        'B2B trade shows'
      ],
      adoption: 'Still niche, growing'
    }
  }
};

const augmentedRealityOverlay = {
  use_case: 'Point phone at product in store, see digital info',

  applications: [
    'Point at wine bottle → tasting notes + reviews',
    'Point at cosmetic → before/after videos',
    'Point at furniture → assembled view',
    'Point at electronics → specs + comparison'
  ],

  implementation: {
    approach: 'QR code or image recognition',
    tech: 'ARKit (Apple) or ARCore (Google)',
    effort: 'Moderate (create 3D models first)',
    cost: '€3-10k per product depending on complexity'
  },

  business_model: {
    retail: 'In-store experience enhancement',
    online: 'QR code in product box → additional content',
    hybrid: 'Bridge online/offline experience'
  }
};

const photogrammetryProcess = {
  workflow: [
    '1. Photograph product from 50+ angles',
    '2. Upload to processing software',
    '3. Software creates 3D model',
    '4. Manual cleanup/optimization',
    '5. Export for web/AR use'
  ],

  technology: [
    'Photogrammetry software (Agisoft, RealityCapture)',
    'Professional photography',
    'Post-processing tools'
  ],

  cost_per_product: {
    simple_item: '€50-150 (shoes, bottles)',
    complex_item: '€200-500 (clothing with folds)',
    furniture: '€300-800 (large items)'
  },

  timeline: '2-5 days per product',
  quality: 'Excellent, photorealistic',
  best_for: 'Detailed products, texture-heavy items'
};

const cadModelingProcess = {
  approach: 'Digital artist manually creates 3D model',

  technology: [
    'Blender (free, open-source)',
    'Maya, 3D Max (expensive)',
    'ZBrush (sculpting)',
    'Cinema 4D'
  ],

  cost_per_product: {
    simple: '€100-300',
    complex: '€400-1,000',
    highly_detailed: '€1,000-3,000'
  },

  timeline: '3-10 days per product',
  quality: 'Varies, depends on artist skill',
  best_for: 'Custom designs, stylized looks, apparel'
};

const hybridApproach = {
  process: [
    'Start with photogrammetry base (fast, cheap)',
    'Touch up with 3D artist (refine details)',
    'Add materials/lighting',
    'Optimize for web performance'
  ],

  cost: '€150-350 per product',
  timeline: '3-5 days per product',
  result_quality: 'High, balanced cost/quality',
  recommendation: 'Best for most e-commerce scenarios'
};

const simpleTryOnStack = {
  platform: 'Web-based (works on any phone)',

  technology: [
    'Webcam access via browser',
    'face-api.js or MediaPipe (face detection)',
    'Three.js (3D rendering)',
    'Custom 3D model in glTF format'
  ],

  development: {
    effort: '2-4 weeks',
    cost: '€5-15k',
    maintenance: 'Moderate'
  },

  example_code: `
    // Simplified virtual try-on code
    import * as facemesh from '@tensorflow-models/facemesh';

    const video = document.querySelector('vidéo');
    const model = await facemesh.load();

    async function detectAndDraw() {
      const predictions = await model.estimateFaces(video);

      predictions.forEach(pred => {
        // Get face landmarks
        const landmarks = pred.landmarks;

        // Position AR object (sunglasses, hat, etc)
        positionARObject(landmarks);
      });

      requestAnimationFrame(detectAndDraw);
    }

    detectAndDraw();
  `,

  supported_devices: 'All iOS 14+, Android 5+',
  latency: '50-100ms (real-time)',
  quality: 'Good for lightweight items'
};

const nativeARStack = {
  ios: {
    framework: 'ARKit + RealityKit',
    xcode_requirement: 'Swift knowledge',
    distribution: 'App Store',
    quality: 'Highest quality',
    cost: '€15-40k development'
  },

  android: {
    framework: 'ARCore + Sceneform',
    xcode_requirement: 'Kotlin knowledge',
    distribution: 'Play Store',
    quality: 'Highest quality',
    cost: '€15-40k development'
  },

  benefits: [
    'Smooth 60fps performance',
    'Advanced face tracking',
    'Lighting estimation',
    'Occlusion (AR object behind real objects)'
  ],

  drawback: 'Requires native app',
  timeline: '8-12 weeks per platform'
};

const fashionAR = {
  primary_use: 'Virtual Try-On',

  formats: {
    face_based: {
      what: 'Sunglasses, hats, headbands',
      conversion_lift: '+30-40%',
      return_reduction: '-25-30%'
    },

    upper_body: {
      what: 'T-shirts, jackets, jewelry',
      complexity: 'High (cloth simulation)',
      tools: 'CLO 3D, Marvelous Designer',
      cost_per_item: '€500-1,500 (complex clothing)',
      timeline: '2-4 weeks per item'
    },

    full_body: {
      what: 'Dresses, pants, full outfits',
      complexity: 'Very high',
      technology: 'Body pose estimation',
      tools: 'MediaPipe Pose or similar',
      cost: '€1,000-3,000 per outfit',
      market_maturity: 'Emerging (2026)'
    }
  }
};

const furnitureAR = {
  killer_feature: 'Place furniture in real room',

  process: {
    step1: 'User points phone at room',
    step2: 'ARCore/ARKit detects surface',
    step3: '3D model placed virtually',
    step4: 'User can walk around, see from angles',
    step5: 'Change colors, materials, size'
  },

  impact: {
    confidence: '+80%',
    purchase_likelihood: '+60-70%',
    returns_due_to_size: '-60-70%'
  },

  examples: [
    'Ikea Place (market leader)',
    'Wayfair View',
    'Amazon Room Decorator'
  ],

  costs: {
    '3d_model_creation': '€300-1,000 per item',
    'ar_app_development': '€40-100k one-time',
    'ongoing_maintenance': '€5-10k monthly'
  }
};

const beautyAR = {
  best_use: 'Makeup Try-On',

  technology: {
    approach: 'Face segmentation + color overlay',
    accuracy: 'High (80%+ satisfaction)',
    real_time: 'Yes (50+ fps on modern phones)'
  },

  impact: {
    conversion_lift: '+25-35%',
    returns: '-15-25%',
    confidence: '+70%',
    engagement: '4-5x more time on product page'
  },

  examples: [
    'Sephora Virtual Artist',
    'MAC Try-On',
    'Urban Decay Try-On',
    'Nykaa Beauty Virtual Makeup'
  ],

  implementation: {
    easiest: 'White-label solutions (Modiface, Looksee)',
    cost: '€50-150k annually (SaaS)',
    effort: '2-4 weeks integration'
  }
};