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

Introduction

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

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