Xiaomi Peru - Optimizes distribution and reduces costs with Amber and AWS
Location
Peru
Industry
Technology / Retail / LogisticsSolution
Cloud Modernization and Operational OptimizationTechnology(ies)
Amazon EC2, Amazon S3, AWS Lambda, Amazon RDS, AWS CloudFormation, Amazon CloudWatch
Company
Xiaomi Peru, a global leader in technological innovation, sought to optimize the management of its national distribution chain.
With a massive logistics operation and growing demand, the company required a more efficient, scalable infrastructure with real-time visibility to maintain its competitive edge.
Together with Amber, Xiaomi implemented a cloud architecture with AWS that enabled them to modernize their logistics processes, reduce costs, and accelerate product delivery across the country.
Challenge
The rapid growth in order volume and the need to maintain distribution accuracy presented challenges for the existing local infrastructure.
The company needed a platform capable of scaling automatically, optimizing routes, and reducing processing times in their logistics operations.
Our proposal
Amber designed a cloud-native solution on AWS focused on operational efficiency, scalability, and cost reduction.
The implemented architecture enabled the consolidation of logistics systems, automation of workflows, and real-time analytics for more agile decision-making.
Key technology components:
- AWS Lambda: Serverless processing to automate logistics workflows.
- Amazon EC2 and RDS: Elastic infrastructure and optimized database for large volumes.
- Amazon CloudWatch: Constant monitoring of performance and delivery times.
- Amazon S3: Secure storage of records and operational reports.
- AWS CloudFormation: Automated and scalable deployment of the solution.
Implementation process
The project was executed in a short period thanks to the use of CloudFormation templates, ensuring an agile and seamless deployment.
Phase 1: Diagnosis
The logistics infrastructure was evaluated and the main challenges of scalability, traceability, and cost optimization in national distribution were identified.
Phase 2: Cloud Design
A native AWS architecture was defined focused on operational efficiency, automation, and real-time visibility of the entire logistics chain.
Phase 3: Implementation
The solution was deployed with AWS CloudFormation, integrating systems, automating workflows, and unifying data on a scalable and secure platform.
Phase 4: Optimization
Performance was validated and processes were adjusted to achieve a 20% reduction in logistics costs and a 40% improvement in delivery times.
Technical and business results
- 500K+ monthly orders managed efficiently.
- 20% reduction in logistics costs.
- 40% improvement in distribution times.
- 100% scalable infrastructure, adapted to national demand.
Operational and strategic impact
- Total optimization of the logistics and distribution cycle.
- Real-time visibility of key metrics and performance.
- Greater responsiveness to demand peaks.
- Complete integration between technology and operations areas.
Testimonials
Erickson Valles Head of Information Technology, Xiaomi Peru
"With the support of Amber and AWS, we optimized our logistics operations in Peru, reducing costs and improving distribution times. This technological transformation allows us to respond quickly and accurately to our customers' needs."
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