1. Automate Complex Business Logic at the Database Layer

• Develop PL/pgSQL stored procedures to perform operations like bulk updates, financial computations, stock valuation, and data normalization.
• Reduce reliance on Python code and decrease the load on the Odoo server by executing logic closer to the data source.

2. Minimize ORM Overhead and Maximize Efficiency

• Design custom SQL functions for commonly executed operations, ensuring quicker execution with less memory usage.
• Replace inefficient loops or nested ORM calls with high-performance SQL routines.

3. Ensure Data Integrity with Triggers and Validations

• Implement BEFORE and AFTER triggers to enforce critical business rules directly in the database.
• Automate record creation, audit trails, and validation logic at the database level—ensuring consistency regardless of how data is entered or modified.

4. Enable Real-Time Custom Reports and Analytics

• Build parameterized functions that return summarized, filtered, or transformed datasets tailored to business needs.
• Generate real-time insights without slowing down Odoo by querying pre-optimized logic stored in the database.