Odoo ERP Implementation for an Australian E-Commerce Distributor

Odoo ERP Implementation for an Australian E-Commerce Distributor

Technology

Project snapshot

 

Role Key Capabilities
Project title Odoo ERP Implementation for Warehouse, Fulfillment & E-Commerce Integration
Industry/Sector E-Commerce / Distribution & Wholesale
Region Australia
Engagement Model Fixed-Cost Implementation + Continuous Enhancement
Duration 6 Months + 9-Month Support Retainer
Project Scale 4 Warehouses · 10 K Daily Orders · 120 Staff Users

 

 

Client & Project Brief

 

Client Overview:

A leading Australian distributor of consumer electronics and home accessories, operating both B2B wholesale and D2C e-commerce channels via multiple Magento storefronts. The absence of centralized inventory and order tracking caused fulfillment errors, stock-outs, and delayed deliveries.

Project Objective:

To integrate all e-commerce operations into a unified Odoo ERP for real-time stock management, automated order routing, and barcode-driven fulfillment — while synchronizing with Adobe Commerce Cloud for live product and order data.

 

Challenges

 

  • Disconnected Magento stores, manual CSV imports for orders and stock
  • Limited warehouse visibility — inventory errors > 6% weekly variance
  • No centralized purchase or shipment tracking
  • Manual invoice generation causing 2–3 day delays
  • Lack of barcode scanning and fulfillment automation

 

Solution Delivered

 

  • Implemented Odoo v16 Enterprise with Inventory, Sales, Purchase, Accounting, and Warehouse Management modules
  • Integrated Adobe Commerce Cloud ↔ Odoo ERP using bi-directional REST API connectors for products, stock, and order synchronization
  • Automated multi-warehouse order routing based on location, stock availability, and delivery SLA
  • Deployed barcode & batch picking system via Odoo Barcode App integrated with handheld scanners
  • Designed FIFO/FEFO warehouse rules for perishable and high-value SKUs
  • Set up automated invoices and shipment documents synced with accounting module
  • Built Power BI dashboards for order fulfillment metrics, returns analysis, and delivery efficiency
  • Hosted solution on Azure Cloud (Australia Southeast) with daily offsite backup replication

 

Our Approach

 

Phase Description
Discovery & Workflow Mapping Analyzed Magento data flow, warehouse operations, and fulfillment process
Solution Architecture Designed multi-warehouse structure, stock routing rules, and API layer with Magento
Implementation Configured modules, integrated API, deployed barcode system
UAT & Pilot Run Conducted trial fulfillment cycles across 2 warehouses
Go-Live Migrated live order flow and enabled continuous monitoring
Continuous Optimization Performance tuning and KPI-driven monthly enhancements

 

 

Technology Stack

 

Category Tools & Platforms
ERP Platform Odoo v16 Enterprise
E-Commerce Integration Adobe Commerce Cloud (Magento 2.4.6) via REST APIs
Modules Inventory, Sales, Purchase, Accounting, Barcode, CRM
Database & Hosting PostgreSQL on Azure VM (HA configuration)
Automation & APIs Python Scripts, Odoo Scheduler, Custom API Layer
Analytics Power BI, Adobe Analytics, GA4
Security SSL, Azure Key Vault, MFA, Role-Based Access

 

 

 Key Results & Metrics

 

Metric Before After Impact
Stock Accuracy 92% 99.6% 7× Fewer Errors
Order Processing Time 3.5 hour 45 min 78 % Faster Fulfillment
Invoice Turnaround 3 Days 6 hours 90 % Faster Accounting Cycle
Return Handling Accuracy 70% 97% 27 % Improvement
Daily Order Capacity 4k 10k+ 2.5× Throughput Growth

 

 

 Client Testimonial

“Rigel Networks delivered a perfectly synchronized ERP and e-commerce ecosystem. Odoo now talks to Magento in real time — our warehouses move faster, and our customers get accurate updates every minute.”
— Head of Operations, Australian E-Commerce Distributor

 

 Engagement Highlights

 

  • Engagement Type: ERP–Commerce Integration + Warehouse Automation
  • Team Size: 8 (1 Solution Architect, 3 Odoo Developers, 1 Integration Engineer, 1 QA, 1 DevOps, 1 PM)
  • Delivery Model: Offshore Delivery + Onsite UAT & Training
  • Compliance: ATO / GST Accounting | Australian Privacy Principles
  • Performance Benchmark: Real-Time Stock Sync < 60 Seconds Delay

 

Empowering Australian E-Commerce with Intelligent ERP Solutions

Email: presales@rigelnetworks.com
Locations: US | India

Odoo ERP Implementation for an Australian Furniture Manufacturer

Odoo ERP Implementation for an Australian Furniture Manufacturer

Technology

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

Odoo ERP Implementation for an Australian Retail Chain

Odoo ERP Implementation for an Australian Retail Chain

Technology

Project snapshot

 

Role Key Capabilities
Project title Odoo ERP Deployment for Centralized Inventory & POS Modernization
Industry/Sector Retail / Consumer Goods
Region Australia
Engagement Model End-to-End Implementation + Managed ERP Support
Duration 7 Months + 12-Month Support Retainer
Project Scale 15 Stores

 

 

Client & Project Brief

 

Client Overview:

A mid-sized Australian retail chain with multiple outlets and warehouses operating on legacy desktop billing and isolated stock management systems. Manual reconciliations led to stock discrepancies, data duplication, and operational delays.

Project Objective:

To design and deploy an Odoo ERP system unifying all retail stores, warehouses, and point-of-sale systems — delivering real-time inventory visibility, automated replenishment, and integrated accounting across the organization.

 

 

Challenges

 

  • Fragmented sales and stock data across standalone systems
  • No real-time inventory tracking; frequent out-of-stock or overstock situations
  • Manual purchase orders and delayed vendor payments
  • Inconsistent pricing rules across retail locations
  • Lack of integration between POS, warehouse, and accounting modules

 

Solution Delivered

 

  • Deployed Odoo v16 Enterprise covering Inventory, Sales, Purchase, Accounting, and POS modules
  • Configured multi-warehouse hierarchy with real-time synchronization using barcode scanners and IoT devices
  • Automated reorder rules based on historical sales and lead-time forecasts
  • Integrated POS terminals at all retail outlets with centralized Odoo backend
  • Implemented multi-currency accounting for imports and vendor payments
  • Connected Power BI dashboards to Odoo database for real-time analytics
  • Hosted Odoo on Azure Cloud (Australia East) with daily backups and 99.9 % uptime SLA

 

Our Approach

 

Phase Description
Business Process Study Mapped existing workflows across stores and supply chain
 System Design & Configuration Designed modular Odoo architecture with security and access control layers
Data Migration Migrated legacy invoices, customers, suppliers, and SKUs using Odoo Import Framework
Customization & Integration Built POS–Inventory–Accounting connectors and vendor auto-replenishment module
UAT & Training Conducted multi-store user training and pilot runs
Deployment & Support Go-live with remote monitoring and monthly patch upgrades

 

 

Technology Stack

 

Category Tools & Platforms
ERP Platform Odoo v16 Enterprise
Modules Inventory, Purchase, Sales, Accounting, POS, Barcode, CRM
Database & Hosting PostgreSQL, Azure VM (Ubuntu 22.04)
Integrations Power BI, Email SMTP, Payment Gateway (Stripe AU)
Automation Odoo Scheduler, REST API Connectors
Security SSL, Azure AD SSO, Role-Based Access Control

 

 

 Key Results & Metrics

 

Metric Before After Impact
Stock Accuracy 68 % 98 % Near-Perfect Visibility
Purchase Order Cycle 5 Days 1 Day 80 % Faster
Billing Errors 3% < 0.3 % 90 % Reduction
Reporting Lag Weekly Real-Time Continuous Insights
Cashflow Closure 12 Days 4 Days 66 % Faster Reconciliation

 

 

 Client Testimonial

 

“Rigel Networks digitized our entire retail backbone. With Odoo, every sale, stock move, and payment is visible instantly — our store managers finally operate with confidence.”
— Operations Director, Australian Retail Chain

 

 Engagement Highlights

 

  • Engagement Type: ERP Implementation + Continuous Support
  • Team Size: 6 (1 ERP Architect, 2 Odoo Developers, 1 Data Engineer, 1 QA, 1 PM)
  • Delivery Model: Offshore Delivery with Weekly Store Review Calls
  • Compliance: ATO-aligned Accounting | Australian Privacy Principles (APP)
  • Performance Benchmark: < 1 s POS transaction sync latency

 

Empowering Retail Growth Through Smart ERP Solutions

Email: presales@rigelnetworks.com
Locations: US | India

Multi-Store Adobe Commerce Cloud Maintenance & Chatbot Automation for an Australian Luxury Retail Conglomerate

Multi-Store Adobe Commerce Cloud Maintenance & Chatbot Automation for an Australian Luxury Retail Conglomerate

Technology

Project snapshot

 

Role Key Capabilities
Project title Multi-Store Adobe Commerce Cloud Maintenance with AI Chatbot & Predictive Personalization
Industry/Sector E-Commerce / Luxury Fashion, Beauty & Accessories
Region Australia (serving APAC clientele)
Engagement Model 24×7 Managed Service + Continuous Development
Duration Ongoing (Initial Implementation 7 Months)
Project Scale 5 Luxury Brand Stores · 100 K+ SKUs · 400 K Monthly Users

 

 

Client & Project Brief

 

Client Overview:

A high-end retail conglomerate in Australia managing multiple luxury fashion and beauty brands under one parent group. Each brand previously had independent websites, technology stacks, and inconsistent customer service experiences, resulting in fragmented data and high maintenance costs.

Project Objective:

To unify all brand stores under a centralized Adobe Commerce Cloud environment, streamline maintenance operations, and integrate an AI-powered chatbot to provide personalized concierge-style customer engagement across all luxury brands.

 

Challenges

 

  • Multiple independent Magento installations with duplicated extensions and inconsistent UX
  • Manual release cycles with high deployment risk
  • Fragmented customer data across stores — no single view of loyalty or purchase history
  • Premium customers expected 24×7 personalized support without human delays
  • Brand teams needed autonomy while maintaining centralized governance

 

Solution Delivered

 

  • Migrated all five brand stores into a single multi-store Adobe Commerce Cloud 2.4.6 instance with shared product catalog, unified CRM integration, and brand-specific themes
  • Designed central governance layer with store-level permissions, analytics dashboards, and security controls
  • Implemented AI Chatbot “LUX-Assist”, powered by Azure OpenAI + Adobe Sensei, capable of:
    • Product discovery & fit recommendations
    • Order tracking and return initiation
    • Guided selling via conversational tone matching each brand’s personality
  • Automated CI/CD pipeline with Adobe Cloud Manager, enabling controlled deployments across brands in under 15 minutes
  • Established Adobe Target + Marketo integration for predictive personalization and automated luxury marketing campaigns
  • Enabled Power BI dashboards showing brand performance KPIs and unified loyalty analytics

 

Our Approach

 

Phase Description
 Audit & Unification Plan Reviewed five brand codebases, extensions, and design assets; created unified roadmap
Cloud Re-Architecture Built single multi-store Adobe Commerce Cloud environment with brand-specific theming
 AI Chatbot Development Deployed LUX-Assist built on Azure OpenAI GPT model; integrated with Magento & Marketo APIs
Automation Setup Configured Cloud Manager pipelines, sandbox environments, and role-based release governance
Launch & Governance Phased migration of each brand; created playbooks for continuous maintenance
Continuous Optimization Ongoing A/B testing, performance tuning, and feature rollout across brands

 

 

Technology Stack

 

Category Tools & Platforms
Commerce Platform Adobe Commerce Cloud 2.4.6
Frontend React PWA Studio + GraphQL + TailwindCSS
Integrations Azure OpenAI Chatbot, Adobe Sensei, Marketo Engage, Adobe Target, Power BI
Automation & CI/CD Adobe Cloud Manager, Docker, GitHub Actions
Hosting & Cloud Adobe Cloud (AWS) + Azure CDN + Redis + Varnish
Analytics & Reporting Adobe Analytics, Power BI Embedded
Security PCI-DSS v4, Azure Key Vault, MFA, SSL Pinning, WAF Policies

 

 

 Key Results & Metrics

 

Metric Before After Impact
Deployment Frequency Quarterly Weekly 4x Faster Releases
Avg. Response Time (Chatbot) — <2 sec Instant Concierge-Style Suppor
Page Load Speed 5.3 s 1.3 s 75 % Faster
Cross-Brand Data Consistency Fragmented Unified 100 % Centralized Data
Customer Engagement Email Only Omnichannel + AI Chat +48 % Conversion Lift

 

 

 Client Testimonial

“Rigel Networks gave our brands a shared digital brain. LUX-Assist now greets customers, guides them, and even remembers their preferences — a true luxury experience at scale.”
— Chief Digital Officer, Australian Luxury Retail Group

 

 Engagement Highlights

 

  • Engagement Type: Continuous Managed Service + Multi-Brand CloudOps
  • Team Size: 10 (1 Solution Architect, 3 Developers, 2 AI Engineers, 1 QA, 1 DevOps, 1 BI Analyst, 1 PM)
  • Delivery Model: Offshore-led Development with Onsite Brand Workshops
  • Compliance: PCI-DSS v4 | GDPR | Australian Privacy Act 2020
  • Performance Benchmark: < 1.5 s load time for each brand under 20 K concurrent sessions

 

Where Multi-Store Commerce Meets Effortless Automation

Email: presales@rigelnetworks.com
Locations: US | India

Multi-Store Adobe Commerce Cloud Implementation with Multilingual Chatbot for a Singapore Electronics Retailer

Multi-Store Adobe Commerce Cloud Implementation with Multilingual Chatbot for a Singapore Electronics Retailer

Technology

Project snapshot

 

Role Key Capabilities
Project title Multi-Store Adobe Commerce Cloud Deployment with Regional Inventory Sync & Multilingual Chatbot
Industry/Sector E-Commerce / Consumer Electronics
Region Singapore · Malaysia · Indonesia
Engagement Model End-to-End Development + Offshore Maintenance
Duration 8 Months + 1-Year Support Retainer
Project Scale 3 Regional Stores · 75 K SKUs · Multi-Language · Multi-Currency

 

 

Client & Project Brief

 

Client Overview:

A Singapore-based electronics retailer with growing operations in Southeast Asia sought to unify its regional storefronts under a single Adobe Commerce Cloud instance. Each country had its own pricing, stock, and support team, creating operational silos and inconsistent user experience.

Project Objective:

To build a multi-store Adobe Commerce Cloud platform capable of regional catalog segregation, real-time inventory sync, and a multilingual AI chatbot providing pre- and post-sales assistance in English, Bahasa, and Mandarin.

 

Challenges

 

  • Legacy self-hosted Magento 2.1 instances per region with redundant codebases
  • Out-of-sync product inventory and pricing across markets
  • Language barriers in customer service
  • High latency for cross-border users accessing Singapore data center
  • Manual deployment and inconsistent branding

 

Solution Delivered

 

  • Designed a multi-store hierarchy on Adobe Commerce Cloud 2.4.6 with centralized catalog management and localized pricing rules
  • Integrated Microsoft Translator API and Azure OpenAI to build a multilingual chatbot handling FAQs, returns, and order tracking
  • Implemented Azure Front Door CDN and Edge Caching for low-latency delivery across SEA
  • Built real-time inventory synchronization using REST APIs connected to each country’s ERP system
  • Developed headless React PWA storefronts customized per region while sharing a unified backend
  • Automated deployments through Adobe Cloud Manager with blue-green release strategy
  • Configured New Relic APM and Adobe Monitor dashboards for uptime and regional analytics

 

Our Approach

 

Phase Description
Discovery & Blueprinting Mapped existing stores, ERPs, and APIs; defined multi-store data flow & CDN topology
Architecture Design Created single Adobe Commerce Cloud tenant with region-specific StoreViews and language layers
Development & Integration Built chatbot module (Azure OpenAI + Translator API + Magento API hooks); integrated ERPs
Testing & Localization Conducted multi-currency, multi-language, and latency testing from SG/KL/Jakarta
Launch & Optimization Phased roll-out with Cloud Manager automation and continuous monitoring

 

 

Technology Stack

 

Category Tools & Platforms
Commerce Platform Adobe Commerce Cloud 2.4.6
Frontend React PWA Studio, GraphQL, Tailwind CSS
Integrations Azure OpenAI, Microsoft Translator API, ERP REST Connectors
Performance & CDN Azure Front Door, Redis, Varnish
Automation & CI/CD Adobe Cloud Manager, Docker, GitHub Actions
Monitoring & Analytics New Relic APM, Adobe Monitor, Power BI
Security PCI-DSS v4, SSL Pinning, MFA, Azure Key Vault

 

 

 Key Results & Metrics

 

Metric Before After Impact
Avg Page Load (APAC) 5.4 s 1.6 s 70 % Faster
Customer Satisfaction (CSAT) 72 % 94 % +22 pts Improvement
Chatbot Resolution Rate — 87% Reduced Support Tickets
Stock Sync Latency 2 hrs < 3 min Real-Time Updates
Uptime
 93 % 99.95% Highly Available Cloud

 

 

 Client Testimonial

“Rigel Networks gave us one cloud platform for all regions. The multilingual chatbot changed our customer engagement overnight — customers now get instant answers in their language.”
— Head of Digital Commerce, SEA Electronics Retail Group

 

 Engagement Highlights

 

  • Engagement Type: Multi-Store Cloud Build + Automation + AI Chatbot
  • Team Size: 8 (1 Architect, 3 Developers, 1 AI Engineer, 1 QA, 1 DevOps, 1 PM)
  • Delivery Model: Offshore Execution + Regional UAT Workshops
  • Compliance: PDPA Singapore | GDPR | PCI-DSS
  • Benchmark: < 1.8 s load @ 10 K concurrent sessions

 

Where Innovation Connects Shoppers Through Intelligent Commerce

Email: presales@rigelnetworks.com
Locations: US | India