Normalized claim
Productivity: 35% increase
Boosted developer productivity by 35% and increased product release frequency by 50%.
CapitaLand modernizes loyalty platform for scalable real estate rewards
Use case typeCode modernizationUpdated Jun 13, 2026
CapitaLand Investment (CLI), a Singapore-based global real asset manager, sought to modernize the CapitaStar loyalty app to enhance scalability, security, and speed of development. The company transitioned from virtual machines to Azure Kubernetes Service and used Azure DevOps, Azure Functions, and GitHub Copilot to automate and secure their development pipeline. This modernization halved infrastructure costs, improved platform uptime and developer productivity, and allowed for faster feature delivery. With automation embedded in release management and security scanning, the platform also benefited from early detection of vulnerabilities and improved compliance. Through these IT transformations, CapitaLand has developed a playbook to replicate this modernization for future projects and has significantly increased employee satisfaction. Stakeholder buy-in and a phased approach ensured both risk mitigation and swift, quantifiable business impact. The CapitaStar loyalty program has been running for over 13 years, engaging 1.8 million members and playing a central role in driving customer loyalty across CLI's global retail properties. The digital transformation bridged the company's physical and digital retail presence, setting new standards for operational efficiency and customer engagement.
- Organization
- CapitaLand
- Industry
- Real Estate
- Location
- Singapore
Reported outcomes
Productivity: +35%
Productivity & throughput
Productivity: +50%Risk & safety: −70%Risk & safety: −60%
Catalog median for productivity & throughput deployments: +40% across 100 reported metrics. Compare benchmarks →
Why do we believe this?Outcome claims, sources, and evidence checks
Normalized claim
Productivity: 50% increase
Boosted developer productivity by 35% and increased product release frequency by 50%.
Normalized claim
Quantified impact: 70% decrease
Reduced transaction failure rates by 70% and critical incidents by 60%.
Normalized claim
Quantified impact: 60% decrease
Reduced transaction failure rates by 70% and critical incidents by 60%.
Normalized claim
Time: 99.8%
Platform uptime consistently at 99.8%.
Why do we believe this deployment?Customer identity, provider attribution, maturity, and source checks
- Customer
- CapitaLand
- Provider
- Microsoft
- Maturity
- Production
- Linked source
- microsoft.com
The digital transformation bridged the company's physical and digital retail presence, setting new standards for operational efficiency and customer engagement
Customer identity supportedSource describes one deploymentMaturity supported
Primary read
Use case focus
Showing 3 of 3
- 1AI-assisted Application Modernization for Loyalty Programs
- 2Automated Release Management with DevSecOps
- 3Digital Transformation of Customer Loyalty Platforms
- Migrated to Azure Kubernetes Service for scalable, reliable infrastructure.
- Implemented Azure DevOps and Azure Functions to automate development and release processes.
- Adopted GitHub Copilot to accelerate code development, with up to 25% of the code written by AI.
- Integrated GitHub Advanced Security for Azure DevOps to automate code scanning and security within pipelines.
- Developed a strategic playbook for wider modernization across business units.
- Boosted developer productivity by 35% and increased product release frequency by 50%.
- Reduced transaction failure rates by 70% and critical incidents by 60%.
Architecture
CapitaLand migrated its CapitaStar loyalty app from VM-based workloads to Azure Kubernetes Service for elastic scalability. Azure DevOps and Functions automated the build and deployment processes while integrating GitHub Copilot for AI-driven code. Azure DevOps pipelines included code scanning via GitHub Advanced Security for proactive compliance. Telemetry and monitoring were used to ensure operational visibility and resilience.
Sources & evidence1
Evidence: Medium65/100Evidence strength
- Customer explicitly identified
- Deployment status explicitly supported
- Primary source available
- Quantified outcome available
- Technical implementation details available
Type: Customer StoryPublisher: microsoft.comEvidence: PrimaryConfidence: High
AI-generated summary. Verify important details with the linked sources before relying on this case.
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