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Glood’s Frequently Bought Together: Smart Bundle Builder

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Algorithm Overview

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Core AI Components

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1. Association Rule Mining

• Support: How frequently items appear together
• Confidence: Probability of buying B when A is purchased
• Lift: Strength of the association beyond random chance

# Simplified algorithm representation
if confidence(A�B) > threshold and lift(A,B) > 1.5:
    recommend(B) when viewing(A)

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2. OpenAI GPT-4 Integration

• Semantic Understanding: Recognizes that “phone case” naturally pairs with “screen protector”
• Context Awareness: Understands seasonal combinations (BBQ grill + charcoal in summer)
• Category Bridging: Identifies cross-category opportunities (camera + travel backpack)
• Description Analysis: Reads product descriptions to find compatibility mentions

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3. Google Gemini Visual Analysis

• Style Matching: Ensures aesthetic compatibility in fashion bundles
• Color Coordination: Suggests items that visually complement each other
• Size Compatibility: Verifies physical compatibility for accessories
• Brand Consistency: Maintains brand coherence in luxury segments

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4. Glood Fine-tuned Models

• Price Optimization: Balances bundle value with customer price sensitivity
• Inventory Management: Prioritizes in-stock combinations
• Margin Optimization: Considers profitability in bundle composition
• Conversion Prediction: Estimates likelihood of bundle purchase

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Data Processing Pipeline

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Real-time Signals

1. Current Session Data
   • Products viewed in current session
   • Time spent on each product
   • Cart additions and removals
   • Search queries used
2. Historical Patterns
   • Previous purchases by this customer
   • Segment-level purchase patterns
   • Seasonal buying trends
   • Category preferences
3. Product Relationships
   • Manufacturer recommendations
   • Product compatibility matrices
   • Collection groupings
   • Substitute vs complement classification

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Advanced Techniques

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Temporal Pattern Recognition

• Morning routine products (coffee + filters)
• Seasonal combinations (sunscreen + swimsuit)
• Holiday gift sets
• Back-to-school bundles

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Multi-objective Optimization

1. Relevance: How well items complement each other
2. Value: Total bundle price optimization
3. Availability: Stock levels and fulfillment capability
4. Profitability: Margin considerations
5. Customer Satisfaction: Historical review scores

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Contextual Adaptation

• Device Type: Mobile vs desktop bundle sizes
• Customer Segment: Budget vs premium shoppers
• Geographic Location: Regional preferences
• Time of Day: Purchase urgency indicators

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Performance Metrics

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Success Indicators

• Bundle Attach Rate: 35% of customers add recommended items
• AOV Increase: Average 42% order value boost
• Conversion Lift: 28% higher conversion with bundles
• Customer Satisfaction: 4.7/5 relevance rating

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Quality Assurance

• Diversity Score: Ensures variety in recommendations
• Coherence Check: Validates logical product combinations
• Price Balance: Maintains reasonable bundle totals
• Inventory Health: Avoids out-of-stock frustration

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Implementation Examples

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Fashion & Apparel

Viewing: Designer Dress
Recommends:
- Matching Clutch (visual similarity via Gemini)
- Coordinating Shoes (style matching)
- Jewelry Set (price-point alignment)

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Electronics

Viewing: DSLR Camera
Recommends:
- Memory Card (necessity detection via GPT-4)
- Camera Bag (protection need)
- Extra Battery (usage pattern)

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Home & Garden

Viewing: Outdoor Grill
Recommends:
- Grill Cover (maintenance item)
- BBQ Tool Set (complementary tools)
- Propane Tank (fuel requirement)

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Continuous Learning

1. A/B Testing: Continuous experimentation with bundle compositions
2. Feedback Loops: Learning from actual purchase decisions
3. Seasonal Adjustments: Adapting to changing seasonal patterns
4. Category Evolution: Discovering new product relationships

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Glood Dashboard Features

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Manual Bundle Builder

1. Visual Bundle Creator
   • Drag and drop products to create bundles
   • Preview how bundles appear on your store
   • Set bundle-specific discounts
   • Schedule seasonal bundle campaigns
2. CSV Bundle Upload
   Copy

   primary_product_id,bundle_product_1,bundle_product_2,discount
   PROD123,PROD456,PROD789,10%
   PROD234,PROD567,PROD890,15%
   

3. Smart Bundle Templates
   • Accessory bundles (phone + case + charger)
   • Complete the look (outfit combinations)
   • Starter kits (everything you need)
   • Gift sets (curated collections)

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FBT Configuration in Glood

Section Settings:
  Algorithm: Frequently Bought Together
  Display Mode: Bundle with Discount
  Number of Products: 3
  Bundle Discount: 10%
  Show Individual Prices: Yes
  One-Click Add All: Enabled
  
Advanced Settings:
  Minimum Confidence: 0.3
  Inventory Check: Real-time
  Price Range: ±30% of main product
  Category Mixing: Allow cross-category
  Brand Preference: Mix brands

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Bundle Performance Analytics

• Bundle Take Rate: % of customers who buy the full bundle
• Partial Bundle Rate: % who buy some recommended items
• Revenue Lift: Additional revenue from bundles
• Popular Combinations: Top-performing bundles
• Inventory Impact: Stock movement from bundles

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Glood’s Unique FBT Features

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Dynamic Bundle Pricing

// Glood automatically calculates optimal bundle discounts
{
  "bundle_price": {
    "strategy": "percentage_off",
    "value": 10,
    "min_items": 2,
    "max_discount": 50,
    "show_savings": true
  }
}

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Inventory-Aware Bundling

• Auto-hide out-of-stock bundles
• Suggest alternatives when items unavailable
• Priority boosting for high-stock items
• Pre-order bundle support

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A/B Testing Framework

• AI vs Manual bundles
• Different discount levels
• Bundle size variations
• Display formats

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Glood FBT Success Stories

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Fashion Retailer

• Setup: Complete outfit bundles
• Result: 43% increase in AOV
• Key: Mixed AI + curated bundles

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Electronics Store

• Setup: Accessory bundles for main products
• Result: 67% bundle attachment rate
• Key: Smart pricing with 15% bundle discount

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Beauty Brand

• Setup: Skincare routine bundles
• Result: 3.5x customer lifetime value
• Key: Educational bundle descriptions

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Implementation Best Practices

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Quick Start with Glood

1. Install Glood app from Shopify App Store
2. Navigate to AI Recommendations → Create Section
3. Select “Frequently Bought Together”
4. Use auto-discover or create manual bundles
5. Customize design to match your theme
6. Deploy to product pages

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Optimization Tips

• Start with AI-discovered bundles
• Add manual bundles for new products
• Test different discount levels (5-20%)
• Use Glood’s one-click “Add All” button
• Monitor analytics weekly

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Common Configurations

• High-value products: 5-10% discount, 2-item bundles
• Accessories: 15% discount, 3-4 item bundles
• Consumables: 20% discount, bulk bundles
• Gift sets: Fixed price, curated selection