> ## Documentation Index
> Fetch the complete documentation index at: https://docs.glood.ai/llms.txt
> Use this file to discover all available pages before exploring further.

# Glood Frequently Bought Together (FBT)

> How Glood.AI discovers and manages product bundles to maximize cart value

# Glood's Frequently Bought Together: Smart Bundle Builder

Glood's Frequently Bought Together (FBT) feature is a revenue-driving powerhouse that identifies products customers love to purchase together. Available in your Glood Dashboard, FBT combines AI-discovered patterns with manual bundle creation tools, giving you complete control over your upselling strategy.

## Algorithm Overview

```mermaid theme={null}
graph TD
    A[Product Page View] --> B[Historical Purchase Analysis]
    B --> C[Association Rule Mining]
    B --> D[Semantic Relationship Analysis]
    B --> E[Visual Similarity Check]
    
    C --> F[GPT-4 Context Understanding]
    D --> F
    E --> G[Gemini Visual Processing]
    
    F --> H[Candidate Set Generation]
    G --> H
    
    H --> I[Glood Ranking Model]
    I --> J[Business Rules Filter]
    J --> K[Final Bundle Recommendations]
    
    style K fill:#9f9,stroke:#333,stroke-width:2px
```

## Core AI Components

### 1. Association Rule Mining

Our proprietary model analyzes millions of transactions to identify:

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

```python theme={null}
# Simplified algorithm representation
if confidence(A�B) > threshold and lift(A,B) > 1.5:
    recommend(B) when viewing(A)
```

### 2. OpenAI GPT-4 Integration

GPT-4 enhances FBT recommendations by:

* **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

### 3. Google Gemini Visual Analysis

For visually-driven products, Gemini provides:

* **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

### 4. Glood Fine-tuned Models

Our specialized e-commerce models handle:

* **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

## Data Processing Pipeline

### 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

## Advanced Techniques

### Temporal Pattern Recognition

Our AI identifies time-based patterns:

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

### Multi-objective Optimization

The algorithm balances multiple goals:

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

### Contextual Adaptation

Recommendations adjust based on:

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

## Performance Metrics

### 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

### 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

## Implementation Examples

### Fashion & Apparel

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

### Electronics

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

### Home & Garden

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

## Continuous Learning

Our FBT algorithm improves through:

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

## Glood Dashboard Features

### Manual Bundle Builder

Create custom bundles directly in Glood:

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**
   ```csv theme={null}
   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)

### FBT Configuration in Glood

```yaml theme={null}
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
```

### Bundle Performance Analytics

Track bundle success in Glood 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

## Glood's Unique FBT Features

### Dynamic Bundle Pricing

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

### Inventory-Aware Bundling

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

### A/B Testing Framework

Test different bundle strategies:

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

## Glood FBT Success Stories

### Fashion Retailer

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

### Electronics Store

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

### Beauty Brand

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

## Implementation Best Practices

### 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

### 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

### 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

For step-by-step setup instructions, see our [Glood FBT Implementation Guide](/guides/create-sections/how-to-create-fbt-section).