Batch Operations & Advanced Workflows: Scale Your Operations

Transform your product categorization from a manual, one-off task into a streamlined, automated workflow. Handle thousands of products efficiently with batch processing, smart filtering, and automated scheduling.

Why Batch Operations Matter

The Scale Challenge

• Manual Processing: Time-consuming for large catalogs (1000+ products)
• Repetitive Tasks: Same categorization needs across multiple product lists
• Resource Management: Inefficient use of credits and processing time
• Consistency Issues: Different settings across similar product batches

The Batch Solution

• Efficiency: Process multiple lists simultaneously
• Consistency: Apply same settings across all batches
• Cost Optimization: Better credit utilization through bulk processing
• Automation: Set up recurring workflows for regular updates

Core Batch Operations

🗂️ Multiple Product List Processing

What it does: Process several saved product lists in a single operation

Perfect for:

• Seasonal catalog updates across different product categories
• Processing inventory from multiple suppliers simultaneously
• Applying consistent categorization rules to related product sets

How to use:

1. Save your product lists individually first
2. Go to Batch Operations in your dashboard
3. Select multiple lists from your saved collections
4. Configure shared settings (taxonomy, optimization options)
5. Submit batch job and monitor progress

---

📦 Bulk Download & Export

What it does: Download results from multiple jobs in organized, compressed packages

Perfect for:

• Distributing results to different teams or systems
• Creating backup archives of categorization work
• Preparing data for multiple marketplace uploads

Export options:

• Individual files: Separate CSV/JSON for each product list
• Combined archive: Single ZIP with all results organized by list
• Custom formats: Choose CSV, JSON, or XML based on your needs

---

🔄 Scheduled Processing

What it does: Automate recurring categorization tasks on a schedule

Perfect for:

• Weekly inventory updates from suppliers
• Monthly catalog refreshes for seasonal products
• Daily processing of new product additions

Scheduling options:

• Daily: Process new products added each day
• Weekly: Handle regular inventory updates
• Monthly: Comprehensive catalog reviews
• Custom: Set specific dates and times for processing

Advanced Filtering & Data Validation

🎯 Smart Filtering System

Transform raw product data into precisely targeted categorization jobs:

Category-Based Filters

• Include specific categories: Only process electronics, clothing, etc.
• Exclude unwanted items: Skip discontinued or problematic products
• Hierarchical filtering: Use category trees for precise selection

Data Quality Filters

• Required fields: Only process products with complete information
• Content length: Skip products with insufficient descriptions
• Data validation: Ensure proper formatting and completeness

Custom Business Rules

• Price ranges: Focus on high-value or budget products
• Brand filtering: Process specific brands or exclude competitors
• Inventory status: Only categorize in-stock items
• Custom attributes: Filter by any field in your product data

📊 Filter Management

Save and Reuse Filters:

Filter Name: "Electronics - High Value"
Rules:
- Category contains "Electronics"
- Price > $100
- Description length > 50 characters
- In stock = true

Filter Templates:

• E-commerce Standard: Common filters for online stores
• Marketplace Prep: Optimized for Amazon, eBay listings
• B2B Catalog: Professional product categorization
• Seasonal Updates: Filters for holiday or seasonal items

🔍 Preview and Validation

Before processing, see exactly what will happen:

• Product count: How many items match your filters
• Credit estimate: Expected cost for the batch
• Processing time: Estimated completion time
• Quality score: Overall data quality assessment

Workflow Automation

🤖 Automated Processing Rules

Set up intelligent automation that responds to your business needs:

Trigger-Based Processing

• New file uploads: Automatically process when new product data arrives
• Inventory updates: Trigger categorization when stock levels change
• Scheduled intervals: Regular processing at set times
• API webhooks: Integration with your existing systems

Conditional Logic

IF new products added to "Electronics" category
AND product count > 50
THEN trigger batch processing with "Electronics Filter"
AND send notification when complete

📈 Performance Monitoring

Track and optimize your batch operations:

Real-Time Monitoring

• Live progress tracking: See processing status across all batches
• Individual job status: Monitor each product list separately
• Resource utilization: Track credit usage and processing efficiency
• Error detection: Immediate alerts for failed or stuck jobs

Historical Analytics

• Processing trends: Understand your usage patterns over time
• Efficiency metrics: Track improvements in processing speed and accuracy
• Cost analysis: Monitor credit usage and optimization opportunities
• Quality tracking: Measure categorization accuracy improvements

Error Handling & Recovery

🛡️ Smart Error Recovery

When things go wrong, the system handles it gracefully:

Automatic Retry Logic

• Network issues: Automatic retry with exponential backoff
• API rate limits: Intelligent queuing and retry scheduling
• Temporary failures: Resume processing from the last successful point

Partial Processing Recovery

• Save completed work: Never lose progress on large batches
• Resume from failure point: Continue where processing stopped
• Selective retry: Only reprocess failed items, not entire batches

📋 Error Reporting

Detailed insights into what went wrong and how to fix it:

• Error categorization: Network, data quality, or system issues
• Specific recommendations: Actionable steps to resolve problems
• Batch impact analysis: Understand how errors affect overall results
• Prevention suggestions: Tips to avoid similar issues in the future

Cost Optimization Strategies

💰 Credit Efficiency

Maximize value from your credit usage:

Bulk Processing Benefits

• Reduced overhead: Lower per-product processing costs in batches
• Shared resources: Efficient use of AI and processing resources
• Volume discounts: Better rates for larger processing jobs

Smart Scheduling

• Off-peak processing: Lower costs during non-peak hours
• Batch consolidation: Combine smaller jobs for better efficiency
• Priority management: Balance speed vs. cost based on urgency

📊 Usage Analytics

Track and optimize your spending:

• Credit consumption patterns: Understand where credits are used
• Efficiency trends: Monitor improvements over time
• Cost per product: Track unit economics of categorization
• ROI analysis: Measure business value of categorization efforts

Real-World Workflow Examples

🏪 E-commerce Store: Weekly Inventory Updates

Challenge: Process 500+ new products weekly from multiple suppliers

Solution:

1. Automated file pickup from supplier FTP
2. Data validation and quality filtering
3. Batch processing with supplier-specific settings
4. Automated distribution to marketplace channels
5. Quality review and exception handling

Results: 90% reduction in manual work, 99.5% accuracy

---

🏭 Manufacturing: Product Catalog Maintenance

Challenge: Maintain 10,000+ product catalog across multiple markets

Solution:

1. Monthly full catalog review with hierarchical categorization
2. Weekly updates for new product additions
3. Seasonal recategorization for market-specific requirements
4. Automated quality monitoring and drift detection

Results: Consistent categorization across all markets, 75% time savings

---

🛒 Marketplace Seller: Multi-Platform Optimization

Challenge: Optimize products for Amazon, eBay, and Shopify simultaneously

Solution:

1. Platform-specific filtering and categorization rules
2. Batch processing with different taxonomy requirements
3. Automated export formatting for each platform
4. Performance monitoring and optimization feedback

Results: 40% increase in product visibility, streamlined operations

Getting Started with Batch Operations

📋 Quick Start Checklist

1. ✅ Organize your product data into logical groups (by supplier, category, etc.)
2. ✅ Save product lists individually in the system
3. ✅ Create and test filters with small batches first
4. ✅ Set up your first batch job with 2-3 product lists
5. ✅ Monitor results and refine your approach
6. ✅ Scale up to larger batches and automation
7. ✅ Implement scheduling for recurring tasks

🎯 Best Practices for Success

Data Organization

• Consistent naming: Use clear, descriptive names for product lists
• Logical grouping: Organize by supplier, category, or business unit
• Regular cleanup: Remove outdated or duplicate product lists

Filter Strategy

• Start simple: Begin with basic filters and add complexity gradually
• Test thoroughly: Always preview filter results before processing
• Document rules: Keep notes on successful filter configurations

Monitoring and Optimization

• Regular reviews: Check batch performance weekly
• Trend analysis: Look for patterns in processing times and accuracy
• Continuous improvement: Refine filters and settings based on results

Advanced Configuration

⚙️ Custom Workflow Templates

Create reusable workflow templates for common scenarios:

Template: "Supplier Integration"
Trigger: New file in supplier folder
Filters:
  - Minimum description length: 100 characters
  - Required fields: title, description, price
  - Category exclusions: discontinued items
Processing:
  - Hierarchical categorization: enabled
  - Image generation: cutout + professional
  - Quality validation: strict
Output:
  - Format: CSV + JSON
  - Delivery: Email + API webhook

🔧 API Integration

Integrate batch operations with your existing systems:

// Trigger batch processing via API
const batchJob = await fetch('/api/batch-operations', {
  method: 'POST',
  headers: { 'X-API-Key': 'your-api-key' },
  body: JSON.stringify({
    productLists: ['list-1', 'list-2', 'list-3'],
    filters: { category: 'Electronics', minPrice: 50 },
    options: { hierarchical: true, generateImages: true }
  })
});

Troubleshooting Common Issues

⚠️ Batch Jobs Running Slowly

Possible Causes:

• Large batch sizes overwhelming system resources
• Complex filtering requiring extensive data processing
• Peak usage times causing resource contention

Solutions:

• Break large batches into smaller chunks (500-1000 products)
• Simplify filters to reduce processing overhead
• Schedule processing during off-peak hours

❌ High Error Rates in Batch Processing

Possible Causes:

• Inconsistent data quality across product lists
• Overly restrictive filters excluding valid products
• Network issues during large batch processing

Solutions:

• Implement data validation before batch submission
• Review and adjust filter criteria
• Enable automatic retry for transient failures

📊 Unexpected Credit Usage

Possible Causes:

• Filters not working as expected, processing more products
• Duplicate processing due to system errors
• Misunderstanding of credit calculation for batch jobs

Solutions:

• Always preview batch jobs before execution
• Monitor credit usage during processing
• Contact support for credit usage analysis

Need Help?

• Setup Assistance: Check our Getting Started Guide
• API Integration: See our Developer Documentation
• Advanced Features: Explore Hierarchical Categorization
• Support: Contact us through the dashboard help section

Transform your product categorization from a manual task into an automated, efficient workflow. With batch operations and advanced filtering, you can handle any scale of product data while maintaining quality and controlling costs.