There are a few ways to achieve integration between Odoo 17 CE and GLPI to synchronize requests, projects, and tasks, ensuring real-time data consistency and facilitating resource management in Odoo. Here's a breakdown of your questions:

Modules and Connectors:

1. Community Modules:
   • There aren't any widely used community modules specifically designed for Odoo and GLPI integration. However, you might find modules related to generic data synchronization or API integrations that could be adapted.
2. Custom Development:
   • This offers the most flexibility to tailor the integration to your specific needs. You can develop custom modules on both Odoo and GLPI to handle data exchange through APIs or web services.

Use Cases and Experiences:

• While there might not be documented use cases for the exact Odoo-GLPI combination, similar integrations with other ticketing or project management systems exist. 

Prerequisites and Steps:

1. Technical Expertise: Custom development requires knowledge of Odoo development tools (Python) and potentially GLPI's API or web service functionalities.
2. System Access: You'll need access to configure both Odoo and GLPI to enable API access or other necessary integrations.
3. Data Mapping: Define how data fields in Odoo (projects, tasks) map to corresponding fields in GLPI (requests, tickets).
4. Synchronization Logic: Determine how often data will be synchronized (real-time, scheduled intervals) and the direction of synchronization (Odoo to GLPI or vice versa, or bi-directional).

Potential Challenges:

• Development complexity: Customizing the integration can be complex, especially if data structures in Odoo and GLPI differ significantly.
• Data consistency: Maintaining data consistency across both systems requires careful design and error handling.
• Performance: Real-time data synchronization can impact system performance if not optimized.

Overcoming Challenges:

• Phased Development: Start with basic functionalities and gradually add complexity.
• Data Validation: Implement data validation rules to ensure data integrity during synchronization.
• Incremental Updates: Consider synchronizing only changed data instead of full record transfers for better performance.

Scripts and APIs:

• Odoo provides APIs for data manipulation (https://glpi-project.org/documentation/).

Additional Recommendations:

• Consider the cost-benefit of custom development versus potential third-party connectors that might emerge in the future.
• Evaluate the volume and complexity of data you want to synchronize to determine the most efficient approach (real-time vs. scheduled).
• Document the integration process clearly for future maintenance and troubleshooting.

By carefully considering these factors and exploring your options, you can establish a successful integration between Odoo and GLPI to streamline your request and project management processes.