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CRÉATION D’UNE PLATEFORME E-COMMERCE OPTIQUE
Guide Technique et Fonctionnel Complet
Table des Matières
CHAPITRE 1 : INTRODUCTION
À propos de ce guide
Vision globale du projet
Objectifs et challenges
Technologies clés
Architecture générale
CHAPITRE 2 : ARCHITECTURE TECHNIQUE
2.1 Backend
Node.js + Express.js
Architecture microservices
API REST design
GraphQL implementation
WebSocket pour temps réel
Gestion des sessions
Base de données
PostgreSQL : structure et relations
Redis : caching et sessions
Elasticsearch : recherche avancée
Sharding et réplication
DevOps
Docker containerisation
Kubernetes orchestration
CI/CD avec Jenkins
Monitoring et logs
Load balancing
2.2 Frontend
Next.js Framework
Server-side rendering
Static site generation
Dynamic routing
API routes
State Management
Redux Toolkit implementation
Middleware configuration
State persistence
Action creators
Selectors
Performance
Progressive Web App
Service Workers
Accelerated Mobile Pages
Core Web Vitals
Code splitting
CHAPITRE 3 : FONCTIONNALITÉS E-COMMERCE
3.1 Catalogue Produits
Structure catalogue
Catégorisation
Attributs produits
Variations
Prix dynamiques
Stock management
Visualisation Produits
Imagerie 360°
Zoom HD
Vidéos produits
Rendu 3D
AR mobile
3.2 Essayage Virtuel
Technologies 3D
Scan facial
Mapping points
Ajustement automatique
Rendu photoréaliste
Export visualisations
Intelligence Artificielle
Reconnaissance faciale
Morphologie analysis
Recommandations style
Personnalisation
Machine Learning models
3.3 Gestion Prescriptions
Système Expert
Validation ordonnances
OCR implementation
Vérification données
Workflow validation
Interface laboratoire
Personnalisation Verres
Configurateur technique
Simulation rendu
Calculs épaisseur
Options et traitements
Pricing dynamique
CHAPITRE 4 : MARKETING AUTOMATION
4.1 SALESmanago Integration
Core Features
Deep learning segmentation
Behavioral scoring
Multi-channel tracking
Unified profiles
Attribution models
Automation Workflows
Email personnalisé
SMS marketing
Web notifications
Chatbots IA
A/B testing
4.2 Social Commerce
Intégrations Boutiques
Facebook Shop
Instagram Shopping
Pinterest Shopping
TikTok Shop
WhatsApp Business
Social Management
Planning automatique
Analyse sentiments
Modération IA
Analytics temps réel
Content optimization
CHAPITRE 5 : OPTIMISATION & PERFORMANCE
5.1 SEO Advanced
Technical SEO
Schema.org markup
XML Sitemaps
JS/CSS optimization
Lazy loading
Rich snippets
Content SEO
IA content generation
Semantic optimization
Content clustering
Internal linking
Multi-language
5.2 Analytics & BI
Tracking System
GA4 enhanced
Hotjar Premium
Session recording
Heatmaps
Funnel analysis
Business Intelligence
Custom dashboards
AI predictions
Cohort analysis
ROI tracking
Automated reports
CHAPITRE 6 : INFRASTRUCTURE & SÉCURITÉ
6.1 Cloud Architecture
AWS Setup
Auto-scaling
Global CDN
Database clustering
Real-time backup
Disaster recovery
Performance
Multi-level caching
Image optimization
Code minification
Compression
Geographic load balancing
6.2 Security
Protection
WAF configuration
DDoS mitigation
Data encryption
24/7 monitoring
Penetration testing
Compliance
RGPD implementation
HIPAA standards
PCI DSS
Cookie management
Privacy design
CHAPITRE 7 : IMPLÉMENTATION
7.1 Planning Phases
Phase 1 : Conception
Analyse besoins
Design UX/UI
Architecture
Prototypage
Phase 2 : Développement
Core platform
AI integration
Unit testing
Performance tests
Phase 3 : Intégrations
Marketing systems
Social commerce
Analytics setup
Security implementation
Phase 4 : Finalisation
User testing
Performance optimization
Security audit
SEO finalization
7.2 Bonnes Pratiques
Code Quality
Style guides
Documentation
Code review
Testing strategy
Performance metrics
Deployment
Staging environment
Production pipeline
Rollback strategy
Monitoring setup
Incident response
CHAPITRE 8 : MAINTENANCE & ÉVOLUTION
8.1 Support Technique
Monitoring
System health
Performance metrics
Error tracking
Usage analytics
Capacity planning
Maintenance
Updates schedule
Security patches
Backup strategy
Recovery plans
Version control
8.2 Évolution Platform
Roadmap
Feature planning
Technology updates
Scale strategy
Market adaptation
Innovation pipeline
CONCLUSION
Best Practices
Success Metrics
Future Trends
Resources
Contact Support
class VirtualTryOnEngine { private scene: THREE.Scene; private camera: THREE.PerspectiveCamera; private renderer: THREE.WebGLRenderer; private faceModel: FaceModel; private frameModel: FrameModel; constructor() { this.scene = new THREE.Scene(); this.camera = new THREE.PerspectiveCamera(75, window.innerWidth / window.innerHeight, 0.1, 1000); this.renderer = new THREE.WebGLRenderer({ antialias: true, alpha: true }); this.setupLighting(); this.setupControls(); } private setupLighting() { const ambientLight = new THREE.AmbientLight(0xffffff, 0.5); const directionalLight = new THREE.DirectionalLight(0xffffff, 0.8); directionalLight.position.set(0, 1, 2); this.scene.add(ambientLight, directionalLight); } async loadFaceModel(faceData: FaceMeshData) { const geometry = new THREE.BufferGeometry(); geometry.setAttribute('position', new THREE.Float32BufferAttribute(faceData.vertices, 3)); geometry.setAttribute('normal', new THREE.Float32BufferAttribute(faceData.normals, 3)); geometry.setAttribute('uv', new THREE.Float32BufferAttribute(faceData.uvs, 2)); geometry.setIndex(faceData.indices); const material = new THREE.MeshPhysicalMaterial({ map: await this.loadTexture(faceData.textureUrl), normalMap: await this.loadTexture(faceData.normalMapUrl), roughness: 0.7, metalness: 0.1 }); this.faceModel = new THREE.Mesh(geometry, material); this.scene.add(this.faceModel); } }