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Zebroo Sync Pipeline

1. Introduction​

The Zebroo Sync Pipeline is a core data synchronisation system designed to keep information consistent, accurate, and up to date across multiple platforms. It automates the flow of data from source systems to downstream destinations while ensuring reliability, traceability, and operational visibility. The Zebroo Sync Pipeline is designed to automate the flow of data between Odoo and other integrated systems using API-based connections.

This pipeline minimises manual effort, reduces data inconsistencies, and ensures alignment across business-critical systems.

2. Scope​

The pipeline covers essential business entities including products, customers, orders, inventory, and invoices. It supports both real-time and batch synchronization depending on the business requirement. The integration includes upstream systems that provide data (e.g., marketplaces, CRM, ERP modules) and downstream systems that consume synchronised data.

3. Key Features / Capabilities​

  • API-driven data import/export: Securely connects Odoo to external systems using standardised APIs.

  • Incremental and full sync: Transfers only updated data when possible to improve efficiency, with full syncs for complete reconciliation.

  • Data validation and transformation: Standardizes formats, enriches records, and eliminates duplicates to ensure high data quality.

  • Error handling and retries: Automatically detects and retries failed syncs to maintain reliability.

  • Audit logs: Tracks all data changes and pipeline activities for transparency and traceability.

4. Benefits / Value Proposition​

  • Operational efficiency: Reduces manual data entry and repetitive processes.

  • Data consistency: Ensures all systems reflect the same, accurate information.

  • Reliability: Provides predictable, automated updates across all integrated platforms.

  • Compliance and traceability: Maintains an audit trail of all data movements for accountability.

5. High-Level Flow / Architecture​

The pipeline follows a structured flow to ensure smooth data synchronisation:

Source System → API Extraction → Validation & Transformation → Odoo → Monitoring & Logs

  • Source System: Any upstream platform providing data.

  • API Extraction: Retrieves data securely and reliably via APIs.

  • Validation & Transformation: Standardises and cleans the data before import.

  • Odoo: The ERP system receives the processed data for operational use.

  • Monitoring & Logs: Tracks pipeline health, sync status, and error details.

This architecture may leverage a middleware or integration layer for orchestration, if needed.

6. Monitoring & Maintenance​

The pipeline includes monitoring mechanisms to ensure smooth operations:

  • Alerts notify the team of failures, delays, or anomalies.

  • Logs provide detailed records for troubleshooting and audit purposes.

  • Maintenance procedures include retries, reprocessing failed syncs, and resolving connectivity issues.

7. Risks & Mitigations​

  • Data mismatch or duplication: Managed through validation rules and deduplication logic.

  • API rate limits or failures: Addressed with automatic retries and queuing mechanisms.

  • Downtime or connectivity issues: Monitored actively, with alerts and recovery procedures in place to prevent data loss.

  • Schema or platform changes: Handled through versioning and careful onboarding of new data structures.

8. Glossary / Terms​

  • API: Application Programming Interface, the method through which systems communicate.

  • Sync / Synchronisation: The process of keeping data consistent between systems.

  • Incremental Load: Transfer of only updated or new records.

  • Full Sync: Transfer of all records to reconcile systems.

  • Destination System: The system receiving data (in this case, Odoo).