Guide Personnalisation IA : Recommandations Produits et Parcours Client

// Logique collaborative filtering
const collaborativeFiltering = {
  approach: 'Find similar users based on purchase patterns',

  algorithm: {
    input: [
      'user_purchase_history',
      'user_browsing_history',
      'user_ratings',
      'user_demographics'
    ],
    computation: 'Similarity scoring with other users',
    output: 'Top 5 similar users → their purchases → filtered recommendations'
  },

  advantages: [
    'Non-reliant on product metadata',
    'Discovers unexpected combinations',
    'Works for new products (if similar users bought them)'
  ],

  disadvantages: [
    'Cold start problem (new users)',
    'Requires massive user base',
    'Can create filter bubbles'
  ]
};

// Content-based recommendation logic
const contentBased = {
  approach: 'Products similar to those you viewed/purchased',

  features_analyzed: [
    'category',
    'brand',
    'color',
    'material',
    'price_range',
    'size',
    'customer_ratings',
    'tags'
  ],

  algorithm: {
    step1: 'Build user profile from browsing/purchases',
    step2: 'Score all products on similarity',
    step3: 'Rank and recommend top matches'
  },

  code_example: `
    // Simplified similarity scoring
    const calculateSimilarity = (userProfile, product) => {
      let score = 0;
      score += (product.category === userProfile.preferred_category) * 5;
      score += Math.exp(-Math.abs(product.price - userProfile.avg_price) / 50) * 3;
      score += (product.rating * 2);
      score += (product.brand in userProfile.brands) * 4;
      return score;
    };
  `
};

const hybridRecommendation = {
  signals: {
    collaborative_score: 0.4,        // Quoi cherchent les similaires
    content_score: 0.3,              // Produits similaires
    popularity_score: 0.1,           // Tendances actuelles
    trending_score: 0.1,             // Croissance récente
    inventory_score: 0.1              // Stock disponible
  },

  final_score: function(product) {
    return this.signals.collaborative_score * product.collab_score +
           this.signals.content_score * product.content_score +
           this.signals.popularity_score * product.popularity +
           this.signals.trending_score * product.trend_velocity +
           this.signals.inventory_score * (product.in_stock ? 1 : 0);
  }
};

const dynamicJourney = {
  // Entrée client sur site
  entry_behavior: {
    first_time: true,
    source: 'google_shopping',
    device: 'mobile',
    time: '19:45'
  },

  // Décisions en temps réel
  decisions: {
    homepage_variant: 'mobile_optimized',
    hero_content: 'clearance_sale',
    product_feed: 'trending_this_month',
    discount_offer: '10%_first_purchase',
    exit_offer: 'sms_subscription'
  },

  // Résultats observés
  results: {
    bounce_rate: '-15% vs baseline',
    add_to_cart: '+23%',
    conversion: '+8%',
    aov: '+€15'
  }
};

const segmentationLogic = {
  // Segment 1: High-Intent Browsers
  segment: {
    name: 'Ready to Buy',
    criteria: {
      pages_viewed: '>5',
      time_on_site: '>3 min',
      product_page_depth: '3+ product pages',
      add_to_cart: 'yes'
    },
    treatment: {
      discount: '5% incentive',
      shipping: 'Free shipping offer',
      urgency: 'Stock limited badge',
      exit: 'Same-day delivery if available'
    }
  },

  // Segment 2: Window Shoppers
  segment: {
    name: 'Browsing',
    criteria: {
      pages_viewed: '2-4',
      time_on_site: '<2 min',
      action: 'browse_only',
      exit_intent: 'high'
    },
    treatment: {
      content: 'Educational content',
      discount: '15% newsletter signup',
      exit: 'Email list capture'
    }
  },

  // Segment 3: Returning Customers
  segment: {
    name: 'Loyal',
    criteria: {
      repeat_purchase: '>3x',
      ltv: '>€300',
      last_purchase: '<30 days'
    },
    treatment: {
      discount: 'VIP exclusive access',
      preview: 'Early access to sales',
      rewards: 'Loyalty points multiplier',
      communication: '2-3x weekly (vs 1x)'
    }
  }
};

// Claude/GPT prompting pour descriptions
const productDescriptionAI = {
  input: {
    product_name: 'Sac à Main Cuir Premium',
    category: 'Fashion > Bags > Leather',
    specs: {
      material: 'Full-grain leather',
      color: 'Cognac',
      weight: '850g',
      dimensions: '30x20x15cm',
      capacity: '15L'
    },
    features: ['Water resistant', 'Italian leather', 'Lifetime guarantee'],
    target_audience: 'Professional women 30-50'
  },

  prompt: `Generate a compelling 150-word product description for e-commerce
           highlighting sustainability and luxury. Format: 2 short paragraphs.
           Include benefit-focused language, avoid generic terms.`,

  output: `Crafted from ethically-sourced Italian leather, this cognac tote
           combines timeless elegance with practical durability. The water-resistant
           full-grain finish develops a rich patina over years, making each
           piece uniquely yours...`
};

// Dynamic title generation for categories
const personalizedTitles = {
  generic_title: 'Running Shoes',

  variants_by_segment: {
    casual_runner: 'Comfy Running Shoes - Perfect Daily Jogger',
    performance_athlete: 'High-Performance Racing Shoes - 8mm Drop',
    fashion_conscious: 'Sleek Running Sneakers - Runway to Trail',
    budget_conscious: 'Budget Running Shoes - Great Value'
  }
};

const personalizedSearch = {
  user_context: {
    browse_history: ['yoga', 'wellness', 'sustainable'],
    purchase_history: ['ethical_fashion', 'organic_beauty'],
    price_sensitivity: 'premium',
    location: 'Paris'
  },

  search_query: 'yoga mat',

  // Sans personnalisation: résultats génériques
  generic_results: [
    'Most Popular Yoga Mats',
    'Best Selling Yoga Mats',
    'New Yoga Mat Arrivals'
  ],

  // Avec IA: résultats personnalisés
  personalized_results: [
    'Sustainable Yoga Mats You\'ll Love',
    'Premium Organic Yoga Mats',
    'Eco-Friendly Options for Conscious Shoppers',
    'Ethical Yoga Mats Recommended for You'
  ]
};

<!-- Email template with IA-personalized content -->
<h2>Bonjour {{firstname}}</h2>

<!-- Section personnalisée par préférence -->
{{#if preferred_category === 'fashion'}}
  <div class="featured">
    <h3>Nouvelles arrivées en Mode</h3>
    {{render_products_by_ai('trending_in_fashion', user_id)}}
  </div>
{{else if preferred_category === 'tech'}}
  <div class="featured">
    <h3>Derniers Gadgets Tech</h3>
    {{render_products_by_ai('trending_in_tech', user_id)}}
  </div>
{{/if}}

<!-- Discount personnalisé par LTV -->
<div class="offer">
  <h3>Votre offre exclusive</h3>
  {{#if ltv > 500}}
    <p>Réduction VIP: 20% tout le site</p>
  {{else if ltv > 100}}
    <p>Réduction: 15% sur sélection</p>
  {{else}}
    <p>Bienvenue: 10% première commande</p>
  {{/if}}
</div>