Odoo Module Development for a Logistics Company

Challenge

The client’s logistics operations were growing rapidly, but their existing Odoo setup lacked the flexibility to handle real-time coordination between multiple regional warehouses. Dispatchers relied on spreadsheets and manual scheduling, leading to frequent route overlaps, inconsistent delivery times, and limited shipment visibility.

Additionally, the system wasn’t integrated with their warehouse and fleet management tools, making it difficult to track vehicle locations or update delivery statuses automatically. The client needed a modular, scalable solution that could extend Odoo’s capabilities without disrupting day-to-day operations.

Key challenges:

• Growing operational costs caused by manual data entry and poor synchronization between teams
• No unified transportation management system to handle route planning and delivery coordination
• Manual dispatching processes increasing the risk of scheduling conflicts and human error
• Lack of real-time tracking for vehicles and shipments across multiple regions
• Data inconsistencies between Odoo and third-party warehouse management tools
• Limited automation in driver assignment and route optimization
• Insufficient visibility into performance metrics such as delivery times and fleet utilization
• Difficulty scaling logistics operations within the existing Odoo framework
• Outdated workflows that slowed down decision-making and response to delivery changes

Solutions

To address the client’s growing logistics complexity, our team designed and implemented a custom Odoo module fully integrated into their existing ERP and warehouse management systems. The goal was to extend Odoo’s functionality without overhauling the client’s infrastructure while introducing automation and real-time data flow across all logistics processes.

We developed a transportation management component in Odoo using Python, PostgreSQL, and REST APIs for secure communication with external tools. The React frontend provided dispatchers with an intuitive interface for route visualization, vehicle status monitoring, and driver assignment. The backend included Node.js microservices hosted on AWS to ensure performance stability, scalability, and continuous availability.

Implemented solutions:

• Enhanced data security and access control across logistics modules using role-based permissions
• Designed a transportation management module within Odoo for automated route creation and driver scheduling
• Integrated real-time vehicle tracking via REST APIs connecting Odoo with the client’s fleet tracking system
• Built a React-based dashboard displaying live delivery progress and route optimization insights
• Automated status synchronization between Odoo and warehouse management systems to eliminate manual data entry
• Implemented microservices on AWS for scalable processing of delivery and route data
• Added analytics tools for monitoring delivery times, route efficiency, and fleet utilization
• Set up continuous testing and deployment pipelines to ensure reliability during future system updates