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
