H&M Case Study.
Client
H&M
Industry
Fashion & Apparel
Retail
Ecommerce
Services
AWS Cloud Migration
Middleware Modernization
System Integration
BACKGROUND
Gill Capital is a retail brand development and distribution company that partners with brands like H&M to operate and enhance their retail concepts in Southeast Asia. The company has recently partnered with H&M to pilot and roll out AI-powered search agents on H&M's Ecommerce platforms in Indonesia and Thailand to improve customer shopping experiences.
BRIEF
Since 2024, Gill Capital’s H&M Thailand middleware had been operating on a MuleSoft integration developed by a previous agency. Over time, the system became expensive to maintain, and unreliable during peak traffic.
To strengthen performance ahead of the 12/12 sales event and modernize its digital infrastructure, the Gill Capital team partnered with us to execute a new AWS Serverless migration for their APAC region.
GOALS
During the discovery phase, a comprehensive audit was conducted to reverse-engineer the existing MuleSoft-based implementation.
We identified performance bottlenecks, architectural inefficiencies, and integration gaps, then reengineered the entire solution using AWS Serverless components, completing the modernization within just 3 months.
CHALLENGE
MuleSoft to AWS Serverless Migration
Migrating a heavily customized MuleSoft environment to AWS Serverless required careful architectural planning while preserving existing integrations and functionality.
Complex Third-Party Integrations
Managing multiple interconnected systems introduced technical complexity, requiring reliable data synchronization and uninterrupted communication between platforms.
Performance and Scalability
Ensuring the infrastructure could handle current and anticipated traffic demands required careful capacity planning, performance optimization, and scalable architecture.
Cloud Cost and Maintenance Optimization
Balancing infrastructure costs with operational efficiency required effective resource management, proactive monitoring, and long-term maintenance planning.
Seamless Transition and Business Continuity
Maintaining system functionality and a consistent customer experience throughout the migration and handover required precise execution and coordination.
Solutions
To modernize H&M's ecommerce infrastructure, the team focused on transitioning its legacy MuleSoft middleware to a scalable AWS serverless architecture. Through careful system integration, performance optimization, and cloud infrastructure management, the project aimed to improve reliability, streamline operations, and support seamless shopping experiences across connected channels.
RESULTS
Building The Foundation for Connected Commerce
H&M successfully transitioned to a modern AWS serverless architecture, improving performance, scalability, and reliability. Leveraging AWS cloud-native services, the platform enables faster processing, automatic scaling, and reduced operational overhead, ultimately strengthening operational efficiency and delivering a seamless customer experience
High Availability & System Reliability
Fast Performance
AWS Auto Scaling
Cloud Cost Management
Maintenance and Real-Time Monitoring
Infrastructure as Code (IaC) Deployments
AWS Cloud-Native Workflow Orchestration
