Project snapshot
| Role | Key Capabilities |
|---|---|
| Project title | Odoo ERP Implementation for Production, Inventory, and Workflow Automation |
| Industry/Sector | Manufacturing / Furniture & Interiors |
| Region | Australia |
| Engagement Model | Fixed-Scope Implementation + Support Retainer |
| Duration | 8 Months |
| Project Scale | 3 Manufacturing Plants · 5 Warehouses · 400+ Employees |
Client & Project Brief
Client Overview:
A family-owned Australian furniture manufacturer producing modular home and office products. Each factory used separate desktop systems for work orders, materials, and costing, leading to data inconsistency, production delays, and inaccurate inventory valuation.
Project Objective:
To deploy Odoo ERP v16 for end-to-end manufacturing automation — covering Bill of Materials (BOM), production routing, work-center scheduling, inventory synchronization, and integration with accounting and CRM modules.
Challenges
- Lack of unified visibility into raw-material usage and WIP (Work in Progress)
- Manual BOM updates and high scrap ratios during production runs
- No real-time machine utilization or downtime tracking
- Inefficient purchase planning and long lead-time variance
- Isolated costing data between factories and finance teams
Solution Delivered
- Implemented Odoo Manufacturing, Inventory, Purchase, Sales, and Accounting modules with deep cross-integration
- Configured multi-level BOM structures for 1,200+ finished goods and semi-finished assemblies
- Deployed Work Centers and Production Routing with IoT connectors for real-time machine status
- Automated Material Requirement Planning (MRP) and Purchase Replenishment Rules based on lead time and vendor performance
- Integrated Odoo Quality & Maintenance modules for inspection and preventive maintenance scheduling
- Developed Power BI dashboards using PostgreSQL data connector for production efficiency and cost-per-unit analytics
- Hosted solution on Azure VM Cluster (HA configuration) with nightly incremental backups
Our Approach
| Phase | Description |
|---|---|
| Process Mapping | Conducted factory walkthroughs and documented production workflows and dependencies |
| Solution Design | Defined BOM hierarchy, routing logic, and inter-warehouse transfer policies |
| Implementation & Integration | Configured modules, built custom manufacturing reports, and integrated finance |
| IoT & Automation Setup | Connected machine sensors via Odoo IoT boxes for uptime tracking |
| Training & Go-Live | Trained floor supervisors and finance controllers; executed phased rollout |
| Optimization | Continuous KPI monitoring and feedback-based refinement over 3 months |
Technology Stack
| Category | Tools & Platforms |
|---|---|
| ERP Platform | Odoo v16 Enterprise |
| Modules | Manufacturing, Inventory, Purchase, Accounting, Quality, Maintenance, CRM |
| Database & Hosting | PostgreSQL, Azure Linux VM Cluster |
| Integrations | Power BI, IoT Connector (MQTT), Email SMTP |
| Automation | MRP Scheduler, Python Scripts for BOM Import |
| Security | Role-Based Access, Azure AD SSO, SSL Encryption |
Key Results & Metrics
| Metric | Before | After | Impact |
|---|---|---|---|
| Production Visibility | Manual Logs | Real-Time Dashboard | 100 % Transparency |
| Raw-Material Waste | 8% | 3 % | 62 % Reduction |
| Work Order Lead Time | 5 Days | 2 Days | 60 % Faster |
| Machine Downtime Tracking | None | Automated IoT Logs | Predictive Maintenance Enabled |
| Financial Reconciliation | Monthly | Daily | Continuous Accuracy |
Client Testimonial
“Rigel Networks brought our manufacturing process into the digital age. Odoo now runs our plants, and Power BI shows us where every dollar and minute goes.”
— Plant Operations Director, Australian Furniture Manufacturer
Engagement Highlights
- Engagement Type: ERP + IoT Automation + Analytics Integration
- Team Size: 7 (1 ERP Architect, 3 Odoo Developers, 1 IoT Engineer, 1 Data Analyst, 1 QA)
- Delivery Model: Offshore Implementation with Onsite Commissioning
- Compliance: ISO 9001 | Australian Privacy Act | IFRS-Compliant Accounting
- Performance Benchmark: < 2 s Work-Order Creation · 99.9 % Uptime
Where Craftsmanship Meets Digital Precision
Email: presales@rigelnetworks.com
Locations: US | India
