Intelligent Email Processing
LumberFlow’s AI automatically processes supplier emails, extracts structured data, and maintains professional communication - but you always have the final say.Automatic Quote Extraction
Email Monitoring
Email Monitoring
24/7 Processing: AI monitors supplier email responses continuously
Smart Recognition: Identifies quote emails vs. general correspondence
Data Extraction: Pulls pricing, terms, and specifications automatically Structured Storage: Converts unstructured email data into organized quote records
Data Extraction: Pulls pricing, terms, and specifications automatically Structured Storage: Converts unstructured email data into organized quote records
Smart Data Recognition
Smart Data Recognition
Lumber Industry Intelligence:
- Recognizes standard lumber terminology and abbreviations
- Understands various pricing formats (per piece, per MBF, per pack)
- Identifies delivery terms and payment conditions
- Extracts contact information updates
- PDF attachments with pricing tables
- Excel spreadsheets embedded in emails
- Plain text price lists
- Formatted HTML email content
Human-in-the-Loop Validation
1
AI Extraction
System processes supplier email and extracts structured data
2
Validation Interface
Two-panel interface shows original document vs. extracted data
3
Human Review
You verify accuracy and make any necessary corrections
4
Approval & Integration
Approved data integrates into your procurement pipeline
Validation Best Practices
Product Specifications: Always verify that AI correctly identified dimensions, species, and grades
Pricing Accuracy: Confirm unit prices and total calculations match the original quote
Delivery Terms: Review extracted lead times and delivery conditions carefully
AI-Generated Communications
RFQ Email Generation
Professional Tone
Industry-appropriate language and formatting
Complete Specifications
All product requirements and quantities included
Clear Terms
Payment and delivery requirements specified
Consistent Branding
Your company information and preferences
Counter-Offer Drafting
Context-Aware Communication
Context-Aware Communication
Previous Conversation Awareness: References prior communications appropriately
Supplier Relationship Consideration: Adapts tone based on supplier history
Negotiation Strategy: Incorporates your specific instructions and constraints
Professional Diplomacy: Maintains positive supplier relationships
Customization Options
Customization Options
Template Selection: Choose from pre-written negotiation templates
Custom Instructions: Add specific requirements or constraints
Tone Adjustment: Professional, friendly, or direct communication styles
Review & Edit: Full editing capability before sending
Smart Communication Templates
Quick Templates for Common Scenarios
Initial Counter-Offer
First-time price negotiations
Follow-Up Negotiation
Ongoing discussion rounds
Volume Discounts
Quantity-based pricing requests
Delivery Terms
Shipping and timeline negotiations
Payment Terms
Extended payment discussions
Final Acceptance
Agreement confirmation
Email Thread Intelligence
Maintaining Conversation Continuity
Thread Tracking
Thread Tracking
Email Chain Awareness: Maintains reference to original RFQ
Reply Context: Proper threading with previous communications
Subject Line Consistency: Professional email subject management
Attachment Handling: Manages quote documents and specifications
Multi-Supplier Coordination
Multi-Supplier Coordination
Bulk Operations: Send counter-offers to multiple suppliers simultaneously
Individual Context: Each supplier conversation maintains separate context
Thread Grouping: Organize communications by supplier relationship
Response Tracking: Monitor response rates and timing across suppliers
AI Learning and Adaptation
System Intelligence Improvement
Learning from Corrections
Learning from Corrections
Validation Feedback: System learns from your corrections during quote validation
Communication Preferences: Adapts to your preferred email tone and style
Supplier Patterns: Recognizes individual supplier communication formats
Industry Evolution: Updates understanding of lumber industry terminology
Accuracy Improvement
Accuracy Improvement
Success Rate Tracking: Monitors extraction accuracy over time
Error Pattern Recognition: Identifies and corrects common mistakes
Format Adaptation: Learns new supplier document formats
Performance Metrics: Continuous improvement based on user feedback
Quality Assurance
AI Accuracy Standards
95%+ Accuracy
Pricing and specification extraction accuracy
100% Validation
All AI-extracted data requires human approval
Error Correction
Continuous learning from validation feedback
Data Security
All communications processed with enterprise security
Troubleshooting AI Features
Common Issues and Solutions
Extraction Accuracy Issues
Extraction Accuracy Issues
Problem: AI misreads pricing or specifications
Solution:
- Use validation interface to correct errors
- Provide feedback to improve future accuracy
- Contact suppliers about unclear formatting
Email Processing Delays
Email Processing Delays
Problem: Supplier emails not processed quickly
Solution:
- Check supplier email addresses are correct
- Verify emails aren’t going to spam folders
- Contact support for processing status
Communication Template Issues
Communication Template Issues
Problem: Generated emails need significant editing
Solution:
- Update your communication preferences
- Use custom instruction fields for specific requirements
- Build template library for common scenarios
Best Practices
Maximizing AI Effectiveness
Consistent Supplier Formats: Encourage suppliers to use consistent quote formats for better AI accuracy
Clear Communication: Provide specific instructions when using AI-generated counter-offers
Regular Validation: Always review AI-extracted data before approval, especially for high-value quotes
Never Skip Validation: While AI is highly accurate, always verify critical pricing and specification data