FreshBooks Sync Management
Monitor, manage, and optimize the synchronization between your FreshBooks account and PayChase AI for reliable data flow.
Sync Management Features
- Real-time sync status monitoring and health checks
- Manual and scheduled sync execution controls
- Comprehensive sync logs and error reporting
- Data reconciliation and conflict resolution
Sync Dashboard Overview
Connection Status
Connected
FreshBooks integration active
Last Sync
2 minutes ago
Records Synced
1,247 this month
Sync Performance
Success Rate98.5%
Average Duration3.2 minutes
Daily Syncs24/24
Data Summary
Active Clients187
Outstanding Invoices42
Active Sequences15
Sync Scheduling
Automatic Sync Schedule
Current Schedule:
Frequency:Every 2 hours
Next Sync:In 1h 23m
Time Zone:EST (UTC-5)
Manual Sync Controls
Manually trigger a sync to get the latest data from FreshBooks immediately.
Sync Logs & History
Recent Sync Activity
Today's Syncs
All Successful
2:00 AM47 invoices, 12 clients
2.1 min4:00 AM3 invoices, 1 client
0.8 min6:00 AM8 invoices, 2 clients
1.2 min8:00 AM15 invoices, 5 clients
1.9 minData Mapping & Fields
FreshBooks → PayChase AI
Client Data Mapping:
Client Name→ Client Name
Email Address→ Primary Email
Phone Number→ Contact Phone
Business Address→ Billing Address
Invoice Data Mapping:
Invoice Number→ Invoice ID
Amount Due→ Outstanding Amount
Due Date→ Payment Due Date
Status→ Payment Status
Sync Preferences
Data Filters:
Date Range:
Syncing invoices from last 12 months
Error Handling & Resolution
Common Sync Issues
Rate Limiting Warning
FreshBooks API rate limits detected. Sync frequency automatically reduced to prevent errors.
All Systems Operational
FreshBooks sync is running smoothly with no errors in the last 7 days.
Automatic Error Recovery
Retry Failed Syncs
Automatically retry failed sync operations
Enabled
Connection Monitoring
Monitor FreshBooks API connectivity
Active
Email Notifications
Alert on sync failures or issues
Configured
Performance Optimization
Sync Efficiency Tips
- Schedule syncs during off-peak hours to reduce API load
- Filter out archived data to speed up sync times
- Use incremental sync for routine updates
- Monitor token expiration and refresh proactively
Current Performance
API Response Time
Fast (1.2s avg)
Data Processing
Optimal
Memory Usage
Moderate (68%)
Error Rate
Low (0.2%)