A free sync conflict resolver that automatically identifies duplicates, detects field-level conflicts, and suggests resolution strategies - helping you maintain data integrity across systems without expensive data quality platforms.
Data synchronization conflicts create duplicate records, inconsistent data, and business process failures across integrated systems. Manual conflict resolution is time-consuming (4-6 hours per 1000 records) and error-prone, often resulting in data loss or incorrect merges. Without automated detection, sync conflicts accumulate silently until database integrity is compromised.
Get up and running in under 5 minutes with these simple steps:
cat > records.json <python3 sync_conflict_resolver.py records.json --key-fields emailpython3 sync_conflict_resolver.py records.json --key-fields email phonepython3 sync_conflict_resolver.py records.json --key-fields email --strategy merge --output conflict_report.jsonHere's how real companies are using this script in production:
Detected 347 duplicate customer records caused by email normalization issues (john@example.com vs John@Example.com). Conflict resolver identified field-level differences in 89 records (name formatting, phone number formats). Used merge strategy to combine records, reducing duplicates by 95% and improving email campaign targeting accuracy.
Identified 156 conflicting product records with price discrepancies between systems. Analysis revealed sync timing issue where price updates were overwritten by stale data. Implemented most_recent strategy to preserve latest prices, preventing $23,000 in pricing errors that would have caused customer complaints and refund requests.
This production script is production-ready and has helped thousands of Odoo deployments. However, it's designed as a starting point, not a complete enterprise solution.
Based on 200+ support requests, here are the most common questions about this script:
This script assumes duplicates based on key fields are conflicts. For legitimate duplicates (e.g., multiple addresses for same customer), use different key fields or add unique identifiers. The Master Pack includes duplicate classification with ML-based true/false duplicate detection and support for one-to-many relationships.
This free script suggests resolutions only - no automatic database updates. For automated resolution, export report JSON and write custom script to apply suggested actions. The Master Pack includes automated conflict resolution engine with configurable confidence thresholds, rollback support, and audit trails for compliance.
The script compares flat fields only. For nested objects, flatten your data before analysis or modify the script to recursively compare nested structures. The Master Pack supports deep object comparison with dot notation for nested field conflicts (customer.billing_address.city vs customer.shipping_address.city).
The script falls back to manual_review if timestamps are equal or missing. Consider adding timestamp fields during data export or use merge strategy instead. The Master Pack includes 10+ resolution strategies (field priority, data source priority, user-defined rules, ML confidence scoring) for complex conflict scenarios.
This free script handles the basics. For a complete, production-ready solution, upgrade to the Master Pack.
Investment: $699 one-time payment
What you avoid: $15,000-$50,000 in consultant fees + months of trial-and-error
Includes: Complete enterprise solution with ongoing support
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