Multi-Store Adobe Commerce Cloud Development & Chatbot Integration for a US Fashion Retail Group

Multi-Store Adobe Commerce Cloud Development & Chatbot Integration for a US Fashion Retail Group

Project snapshot

 

Role Key Capabilities
Project title Multi-Store Adobe Commerce Cloud Development with AI Chatbot and Unified Product Catalog
Industry/Sector E-Commerce / Fashion & Apparel
Region United States
Engagement Model Continuous Development + Managed CloudOps
Duration 9 Months + Ongoing Support
Project Scale 4 Brand Stores

 


 

Client & Project Brief

 

Client Overview:

A prominent US retail group managing multiple fashion brands sought a unified digital commerce foundation. Each brand ran a separate Magento instance, increasing maintenance overhead and diluting analytics visibility.

Project Objective:

To consolidate all brands under Adobe Commerce Cloud as multi-storefronts, enable shared infrastructure and AI-powered chatbot for support, and introduce automated CI/CD with real-time analytics.


 

Challenges

 

  • Four separate Magento codebases and inconsistent UI/UX
  • Slow deployments and manual version upgrades
  • High operational cost from duplicated extensions
  • Absence of unified customer support or live-chat automation

 

Solution Delivered

 

  • Developed multi-store architecture within one Adobe Commerce Cloud environment, each with localized branding and shared backend
  • Created modular design system for rapid brand rollout and consistent UX
  • Integrated ChatGPT-based AI chatbot via Azure OpenAI APIs for 24×7 product assistance, order tracking, and FAQ automation
  • Configured Adobe Cloud Manager pipelines for automated builds and blue-green deployments
  • Centralized order and customer data for cross-brand loyalty analytics via Adobe Analytics + Power BI
  • Deployed Redis, Varnish, and Cloud CDN for high-speed caching

 

Our Approach

 

Phase Description
Discovery & Design System Setup Mapped all brand UIs and unified style guide into modular components
Architecture Definition Multi-store setup with shared catalog and payment gateways
Development & Integration Built custom chatbot service using Azure Bot Framework + ChatGPT API
CI/CD Implementation Automated deployment pipeline and staging QA environments
Optimization & Support Monitoring, A/B testing, and feature releases via sprint cycles

 


 

Technology Stack

 

Category Tools & Platforms
Commerce Platform Adobe Commerce Cloud 2.4.6
Frontend React PWA Studio, Tailwind UI, GraphQL
Integrations Azure OpenAI Chatbot, Adobe Analytics, Power BI, Stripe, PayPal
Automation & CI/CD Adobe Cloud Manager, GitHub Actions
Monitoring New Relic APM, Azure Monitor
Security PCI-DSS, Azure Key Vault, MFA, reCAPTCHA v3

 


 

 Key Results & Metrics

 

Metric Before After Impact
Deployment Frequency Quarterly Weekly 4× Faster Releases
Avg. Page Load 4.6s 1.4s 70 % Faster
Support Response Time 12h Instant via Chatbot 100 % Real-Time
Infra Cost 100% 65 % 35 % Savings

 


 

 Client Testimonial

“Rigel unified our brands and automated customer engagement. The AI chatbot and multi-store design cut operational costs while elevating user experience.”
VP Digital Commerce, US Retail Group


 

 Engagement Highlights

 

  • Team Size: 9 (Architect + Developers + AI Engineer + QA + PM + DevOps)
  • Delivery Model: Hybrid Offshore with Weekly US Sync
  • Compliance: PCI-DSS | GDPR | CCPA
  • Benchmark: < 1.5 s load @ 15 K concurrent users

 

Where Intelligent Conversations Empower Fashion Commerce

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

Adobe Commerce Cloud Re-Engineering for an Australian Home Décor Retailer

Adobe Commerce Cloud Re-Engineering for an Australian Home Décor Retailer

Project snapshot

 

Role Key Capabilities
Project title Adobe Commerce Cloud Re-Engineering with AI Personalization and Marketing Automation
Industry/Sector E-Commerce / Home & Lifestyle Retail
Region Australia
Engagement Model Fixed-Scope Cloud Replatform + Long-Term Managed Maintenance
Duration 5 Months + 12-Month Optimization Support
Project Scale 3 Brand Stores

 


 

Client & Project Brief

 

Client Overview:

A mid-size Australian home décor brand selling furniture, lighting, and curated lifestyle accessories through multiple online channels. Their previous Magento 2.2 installation hosted on a private VPS faced slow performance, poor search relevance, and marketing friction due to manual campaign management.

Project Objective:

To re-engineer the existing Magento stack into a fully cloud-native Adobe Commerce Cloud 2.4.6 environment with integrated Adobe Sensei AI recommendations, Adobe Marketo Engage for automated marketing, and Adobe Experience Manager (AEM) for dynamic content publishing.


 

Challenges

 

  • Legacy hosting with inconsistent uptime and slow response times
  • Manual product recommendations and static homepage layouts
  • No centralized marketing automation for email and remarketing campaigns
  • Lack of version control and rollback capability in deployments
  • Fragmented analytics with no single view of customer behavior

 

Solution Delivered

 

  • Migrated from Magento 2.2 VPS to Adobe Commerce Cloud 2.4.6 with autoscaling and automated deployments
  • Integrated Adobe Marketo Engage for campaign automation, lead nurturing, and remarketing
  • Connected Adobe Experience Manager (AEM) to manage lifestyle blogs, lookbooks, and seasonal collections
  • Deployed Adobe Sensei AI for dynamic product recommendations and cross-sell logic
  • Refactored frontend using PWA Studio (React) for mobile-first performance and faster checkout flow
  • Configured Azure Blob Storage for media assets with global CDN caching
  • Built sandboxed CI/CD pipelines via Adobe Cloud Manager for zero-risk release cycles
  • Established 24×7 monitoring with New Relic APM and automated alerts through Slack and MS Teams

 

Our Approach

 

Phase Description
Audit & Discovery Reviewed performance metrics, code health, and UX bottlenecks
Cloud Architecture Design Defined Adobe Cloud multi-store topology and CDN strategy
Migration & Integration Executed DMT migration; integrated AEM, Marketo, and Sensei modules
Frontend Revamp Built modular PWA components and improved Core Web Vitals
Automation Setup Configured Cloud Manager CI/CD and New Relic monitoring stack
Testing & Launch Regression, load, and SEO validation before phased rollout
Support & Optimization Continuous tuning, quarterly release upgrades, and feature enhancements

 


 

Technology Stack

 

Category Tools & Platforms
Commerce Platform Adobe Commerce Cloud 2.4.6
Frontend PWA Studio (React), GraphQL, Tailwind CSS
Integrations Adobe AEM, Marketo Engage, Sensei AI, Stripe, PayPal AU
Hosting & Cloud Adobe Cloud (AWS) + Azure Blob Storage + CDN
Automation & CI/CD Adobe Cloud Manager, Docker, GitHub Actions
Analytics & Monitoring New Relic APM, Adobe Analytics 4, Google Data Studio
Security PCI-DSS v4, SSL Pinning, Azure WAF, 2FA, reCAPTCHA v3

 


 

 Key Results & Metrics

 

Metric Before After Impact
Page Load Speed 5.8 sec 1.4 sec 76 % Faster
Conversion Rate 1.7% 3.5% +106 % Increase
Bounce Rate 55 % 29% –47 % Reduction
Marketing Campaign Launch Time 5 days 1 day 80 % Faster
System Uptime 92% 99.95 % Enterprise-Grade Reliability

 


 

 Client Testimonial

“Rigel Networks gave our digital storefront a complete upgrade — fast, intelligent, and visually refined. With Sensei and Marketo integrated, marketing and sales finally operate in sync.”
Digital Commerce Manager, Australian Home Décor Retailer


 

 Engagement Highlights

 

  • Engagement Type: Re-Engineering + Marketing Automation + Ongoing Support
  • Team Size: 7 (1 Solution Architect, 2 Magento Developers, 1 React Engineer, 1 AEM/Marketo Specialist, 1 QA, 1 PM)
  • Delivery Model: Offshore Development + Weekly Stakeholder Review
  • Compliance: PCI-DSS | GDPR | Australian Privacy Act 2020
  • Performance Benchmark: < 1.5 s load time @ 10 K concurrent sessions

 

Reimagining Retail Elegance Through Adobe Commerce Cloud

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

Adobe Commerce Cloud Migration for an Australian Sportswear E-Commerce Brand

Adobe Commerce Cloud Migration for an Australian Sportswear E-Commerce Brand

Project snapshot

 

Role Key Capabilities
Project title Magento 1.7 to Adobe Commerce Cloud Migration with Performance Optimization & Local Payment Integration
Industry/Sector E-Commerce / Sportswear & Lifestyle
Region Australia
Engagement Model End-to-End Migration + Managed CloudOps
Duration 6 Months
Project Scale 2 Online Stores

 


 

Client & Project Brief

 

Client Overview:

A rapidly expanding Australian sportswear retailer offering performance apparel and accessories through multiple online channels. Their legacy Magento 1.7 store was struggling with mobile responsiveness, high bounce rates, and frequent server crashes during promotional campaigns.

Project Objective:

To migrate to Adobe Commerce Cloud 2.4 with enhanced speed, scalability, and local payment integrations (Afterpay / ZipPay / Australia Post) — delivering a frictionless, mobile-first shopping experience and enterprise-grade reliability.


 

Challenges

 

  • Magento 1 end-of-life with incompatible PHP/MySQL stack
  • High downtime during flash-sale events (> 5 hrs / month)
  • Manual deployment & rollback process, no CI/CD
  • Fragmented checkout experience for Australian payment methods
  • SEO performance drop due to poor mobile optimization

 

Solution Delivered

 

  • Migrated to Adobe Commerce Cloud 2.4.6 using official Data Migration Tool with full catalog, order, and customer data retention
  • Implemented responsive PWA storefront (React + GraphQL) for app-like mobile experience
  • Integrated Afterpay, ZipPay, PayPal AU, and Australia Post Shipping API
  • Configured Adobe Cloud Manager CI/CD pipelines for automated build, test, and deploy cycles
  • Optimized caching using Redis, Varnish, and Azure CDN (Australia East)
  • Added Content Staging + Page Builder for dynamic campaign management by marketing teams
  • Established Disaster Recovery (DR) environment replicated across Azure regions
  • Implemented New Relic APM + Adobe Monitor for proactive performance tracking

 

Our Approach

 

Phase Description
Discovery & Planning Audit of Magento 1.7 instance, code refactoring plan, and database mapping
Architecture Design Defined multi-region Azure infrastructure with CDN and DR replication
Migration Execution DMT-based migration of 400 K orders & 150 K customers; extension compatibility testing
Integration & Automation Payment gateways + Australia Post API + CI/CD pipeline setup
Testing & UAT Load, regression, and SEO testing for mobile responsiveness
Launch & Post-Go-Live DNS cutover with zero-downtime and SLA-based offshore support

 


 

Technology Stack

 

Category Tools & Platforms
Commerce Platform Adobe Commerce Cloud 2.4.6
Frontend React PWA Studio + GraphQL
Integrations Afterpay API, ZipPay, PayPal AU, Australia Post Shipping
Caching & Performance Redis, Varnish, Azure CDN
DevOps & CI/CD Adobe Cloud Manager, Docker, GitHub Actions
Monitoring New Relic APM, Adobe Cloud Monitor
Security PCI-DSS, SSL Pinning, reCAPTCHA v3, 2FA Admin Access
Disaster Recovery Azure Site Recovery (Australia East ↔ Southeast)

 


 

 Key Results & Metrics

 

Metric Before After Impact
Page Load Speed 6 sec 1.5 sec 75 % Faster
Conversion Rate 2.2% 3.8% +73 % Increase
Cart Abandonment 43% 20% –53 %
Uptime (Stability)) 94% 99.9% Reliable Cloud Performance
Deployment Time 3 hrs manual 12 min CI/CD 90 % Time Saved

 


 

 Client Testimonial

“Rigel Networks completely transformed our e-commerce performance. The Adobe Commerce Cloud migration and CI/CD automation gave us confidence to run national promotions without downtime.”
Head of Digital Commerce, Australian Sportswear Brand


 

 Engagement Highlights

 

  • Engagement Type: Cloud Migration + Automation + Managed Support
  • Team Size: 8 (1 Architect, 2 Magento Developers, 1 React Engineer, 1 DevOps, 1 QA, 1 PM, 1 Support Engineer)
  • Delivery Model: Offshore Execution with Weekly Australia Sync Calls
  • Compliance: PCI-DSS  |  GDPR  |  Australian Privacy Act
  • Performance Benchmark: Tested for 12 K concurrent sessions under 2 s load

 

Fueling Sportswear Growth Through Adobe Commerce Cloud

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

Adobe Commerce Cloud Migration for a Singapore Beauty & Cosmetics Brand

Adobe Commerce Cloud Migration for a Singapore Beauty & Cosmetics Brand

Project snapshot

 

Role Key Capabilities
Project title Migration from Magento 2.1 to Adobe Commerce Cloud with Multi-Language, Multi-Currency, and Regional CDN Optimization
Industry/Sector E-Commerce / Beauty & Personal Care
Region Singapore
Engagement Model Offshore Delivery + Managed Service (Cloud Migration & Localization)
Duration 4 Months + 6-Month Optimization Support
Project Scale 4 Regional Stores

 


 

Client & Project Brief

 

Client Overview:

A leading Singapore-based online beauty retailer selling skincare, cosmetics, and personal care across Southeast Asia. Its existing Magento 2.1 instance was hosted on a local VPS, facing heavy downtime during peak sale events and offering inconsistent multi-currency checkout.

Project Objective:

To migrate the platform to Adobe Commerce Cloud 2.4.6, implement a unified multilingual and multi-currency setup, and deliver lightning-fast performance with regional CDN and SEO-friendly localization.


 

Challenges

 

  • Legacy hosting with no scalability or automated deployment
  • Page load > 5 seconds on mobile; poor Core Web Vitals scores
  • Manual translation and duplicate content for each market
  • Currency mismatch issues during checkout
  • SEO dilution due to inconsistent localized URLs

 

Solution Delivered

 

  • Migrated entire store to Adobe Commerce Cloud 2.4.6 with seamless data integrity using DMT (Migration Tool)
  • Implemented multi-store hierarchy with shared catalog & region-specific price rules
  • Configured Store Views for English, Bahasa, and Thai with locale-aware routing (/sg/, /my/, /th/)
  • Integrated Adobe Experience Manager (AEM) for localized banners and promotions
  • Connected Razorpay, Stripe, and PayNow SG for regional payments
  • Deployed Azure Front Door CDN + Redis + Varnish for sub-second load across APAC
  • Automated CI/CD with Adobe Cloud Manager, including regression test gates and auto rollback
  • Added ElasticSearch for localized product search with synonym dictionaries per language

 

Our Approach

 

Phase Description
Assessment & Localization Mapping Catalog audit, translation workflow definition, and regional currency mapping
Cloud Architecture Design Multi-store setup on Adobe Commerce Cloud with shared assets and isolated configs
Migration Execution Data migration (customers, orders, catalog), extension compatibility upgrades
Integration & Optimization Payment gateway integrations, AEM connectors, and CDN rule tuning
Testing & UAT Cross-browser + multilingual QA, load testing (10 K concurrent sessions)
Go-Live & Support SEO-safe redirects, post-migration audit, and performance monitoring

 


 

Technology Stack

 

Category Tools & Platforms
Commerce Platform Adobe Commerce Cloud 2.4.6
Frontend Luma Responsive Theme + Localized CSS Bundles
Localization & CMS Adobe Experience Manager (AEM), Google Translate API, Locale Routing
Integrations Razorpay SG, Stripe, PayNow SG, ERP Sync via REST
Performance Redis, Varnish, Azure Front Door CDN
Search & SEO ElasticSearch 7, hreflang Tags, Canonical URL Mapping
Automation & CI/CD Adobe Cloud Manager, GitHub Actions
Monitoring & Analytics Adobe Cloud Monitor, New Relic APM, GA4
Security SSL Pinning, reCAPTCHA v3, 2FA, PCI-DSS Compliance

 


 

 Key Results & Metrics

 

Metric Before After Impact
Average Page Load 5.2 sec 1.4 sec 73 % Faster
Mobile Conversion Rate 1.9% 3.1% +63 % Improvement
Checkout Errors 3.5% 0.4% 88 % Reduction
SEO Organic Traffic (APAC) Baseline 100 % +48 % via Localized URLs
Infra Cost per Month 100% –25 % Optimized Cloud Spend

 


 

 Client Testimonial

“Rigel Networks gave our brand a high-performance, regionally tailored platform. The multi-language rollout and speed boost transformed customer experience across Southeast Asia.”
E-Commerce Head, APAC Beauty Retailer (Singapore)


 

 Engagement Highlights

 

  • Engagement Type: Cloud Migration + Regional Localization Program
  • Team Size: 6 (1 Architect, 2 Magento Developers, 1 AEM Specialist, 1 QA, 1 PM)
  • Delivery Model: Offshore Execution with Bi-weekly Client Review Calls
  • Compliance: PDPA Singapore | PCI-DSS | GDPR
  • Performance Benchmark: < 1.5 s load time tested from Singapore, Sydney & Tokyo regions

 

Where Beauty Meets Seamless Commerce Transformation

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

Adobe Commerce Cloud Migration for a US Gourmet Food & Beverage Retailer

Adobe Commerce Cloud Migration for a US Gourmet Food & Beverage Retailer

Project snapshot

 

Role Key Capabilities
Project title Migration from Magento 1.7 to Adobe Commerce Cloud with Multi-Warehouse Fulfilment Integration
Industry/Sector E-Commerce / Gourmet Food & Beverage
Region United States
Engagement Model Agile Time & Material (Cloud Migration + Integration + Support)
Duration 5 Months
Project Scale 2 Regional Stores

 


 

Client & Project Brief

 

Client Overview:

A premium gourmet food retailer in the US with strong online sales and nationwide delivery network. The legacy Magento 1.7 system was heavily customized and hosted on shared servers — causing performance lags, frequent crashes during high-traffic periods, and compliance risks.

Project Objective:
To migrate the entire platform to Adobe Commerce Cloud (Magento 2.4) for scalability, security, and automation. Additionally, to integrate real-time warehouse logistics and carrier systems to streamline shipping, inventory, and order fulfillment operations.


 

Challenges

 

  • Legacy Magento 1.7 reaching end-of-life with unstable codebase
  • Manual stock updates and inconsistent warehouse synchronization
  • No automated deployment or rollback system
  • Shipping cost errors due to outdated third-party plugins
  • PCI-DSS non-compliance and security vulnerabilities

 

Solution Delivered

 

  • Re-platformed to Adobe Commerce Cloud 2.4.5 using official Magento Data Migration Tool (DMT) ensuring full order and customer data preservation
  • Implemented multi-warehouse order routing logic with StoreView-level inventory segregation
  • Integrated FedEx, UPS, and ShipStation APIs for dynamic carrier selection and real-time cost computation
  • Configured Adobe Cloud Manager CI/CD pipelines for fully automated deployments
  • Embedded Redis caching, Varnish accelerator, and Azure CDN for sub-2-second performance
  • Deployed New Relic APM and Cloud Monitor for live performance visibility
  • Implemented Cloud-based backup automation with 15-minute incremental snapshots

 

Our Approach

 

Phase Description
Platform Assessment Analyzed Magento 1.7 dependencies, extension mapping, and data migration scope
Architecture Design Defined multi-environment setup (Dev, QA, Staging, Prod) and designed warehouse routing logic
Migration Execution Used DMT to migrate 300K+ orders, 120K customers, and 25K products
Integration & Automation Connected FedEx, UPS, and ShipStation APIs; added cron-based sync with ERP
Performance Optimization Configured Redis, Varnish, and CDN; executed 3 load-test rounds
Validation & Go-Live Conducted full UAT and live cutover with DNS switch and rollback plan
Post-Launch Support 24×7 monitoring, version patching, and continuous pipeline audits

 


 

Technology Stack

 

Category Tools & Platforms
Commerce Platform Adobe Commerce Cloud (Magento 2.4.5)
Integrations ShipStation, FedEx, UPS APIs, ERP sync via REST
Frontend Luma-based theme (responsive, WCAG compliant)
Caching & CDN Redis, Varnish, Azure CDN
Automation Adobe Cloud Manager CI/CD, Cron Jobs, Auto Rollbacks
Monitoring & Analytics New Relic, Adobe Cloud Monitor, Google Analytics 4
Security & Compliance PCI-DSS, SSL Pinning, WAF, OWASP Secure Headers

 


 

 Key Results & Metrics

 

Metric Before After Impact
Page Load Speed 4.5 sec 1.5 sec 66% Faster
Checkout Completion Rate 72% 89% +17%
Cart Abandonment 40% 22% 45% Improvement
Shipping Error Rate 5% 0.2% 96% Accuracy
Uptime During Peak 94% 99.98% Seamless Operations

 


 

 Client Testimonial

“Rigel Networks modernized our e-commerce backbone while optimizing our logistics. The platform now scales automatically, integrates all warehouses, and runs with precision — even during seasonal rushes.”
CTO, US Gourmet Food Retailer


 

 Engagement Highlights

 

  • Engagement Type: Agile Cloud Migration + Continuous Delivery
  • Team Size: 7 (1 Solution Architect, 2 Magento Developers, 1 Integration Engineer, 1 DevOps, 1 QA, 1 PM)
  • Delivery Model: Offshore Delivery + US Client Coordination Calls
  • Security Compliance: PCI-DSS & OWASP 2024 guidelines
  • Performance Benchmark: 1.5s load speed under 10K concurrent users

 

Where Gourmet Retail Meets Seamless Commerce

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