Vidimi Launches a New-Generation Loyalty App Platform Powered by Artificial Intelligence (AI) on AWS

Ambition to Redefine Loyalty Programs in the Digital Age

Vidimi is a next-generation loyalty application platform in Vietnam, envisioned to become the leading points accumulation platform serving millions of users.

Unique Selling Point: AI-Powered Receipt Recognition Technology. Users simply take a photo of their receipt from anywhere, and the AI system automatically analyzes, validates, and awards points instantly. Additionally, users can earn points through in-app activities and redeem them for rewards directly on the platform.

Scale Challenge: To serve tens of millions of users, Vidimi requires a platform capable of processing massive transaction volumes and deeply integrating AI/ML technologies to continuously improve recognition accuracy and personalize the user experience.

The Challenge: From Legacy Infrastructure to AI Ambitions

Vidimi faced significant hurdles stemming from its traditional data center infrastructure. High operating costs, limited scalability, and a lack of flexibility needed to deploy complex Artificial Intelligence/Machine Learning (AI/ML) models were hindering the company's pace of innovation. With the ambition to process millions of point-accumulation transactions daily and train Large Language Models (LLMs) to enhance receipt recognition accuracy, Vidimi needed a platform with limitless scalability, cost optimization, and robust support for AI workloads.

Furthermore, the requirements for high reliability (99.95% uptime) to serve users 24/7 and the capability for multi-platform integration with existing Microsoft Azure systems posed complex technical challenges that needed to be resolved.

The Problem: Transitioning from Data Center to Cloud-Native Architecture to Accelerate Innovation and Optimize Costs

In the increasingly competitive loyalty program market, customers expect faster, seamless, and smarter point-accumulation experiences.

Vidimi, a next-generation loyalty app in Vietnam, is pioneering the application of Artificial Intelligence (AI) to revolutionize customer experience—where users simply photograph a receipt, and AI automatically handles the processing and point allocation.

The Solution: Comprehensive Cloud-Native Architecture

GENEXTECH SOLUTIONS (GNXT), acting as an AWS Premium Cloud Provider, consulted on the solution, designed the architecture, and deployed a comprehensive cloud-native architecture for Vidimi, optimized for both AI/ML workloads and production applications.

Core Infrastructure:

• Amazon VPC (Virtual Private Cloud) with a multi-tier design: Public and private subnets combined with NAT Gateways ensure security based on the defense-in-depth principle.

• EC2 Auto Scaling Groups with Application Load Balancers automatically handle traffic spikes, supporting surges up to 6 times the normal volume.

• Amazon RDS Multi-AZ for PostgreSQL with automated backups, ensuring high availability and disaster recovery.

• Amazon ElastiCache for Memcached to offload the database and improve response times.

AI/ML Acceleration:

• Dedicated EC2 GPU instances for training and inference of receipt recognition AI models.

• Amazon EFS (Elastic File System) for shared storage of training datasets, supporting multiple concurrent training jobs.

• Integration with AWS Bedrock Foundation Models to enhance Natural Language Processing (NLP) capabilities.

Security & Monitoring:

• AWS KMS encryption for data at rest and in transit.

• CloudWatch with custom metrics for real-time monitoring.

• AWS Systems Manager for patch management and operational automation.

• AWS Backup with cross-region replication for business continuity.

The Results: Complete Transformation in Just 6 Weeks

Within only 6 weeks of deployment, Vidimi achieved impressive results:

Cost Optimization:

• Reduced total infrastructure costs by 25-30% compared to the traditional data center.

• Saved 40% on operational costs thanks to automation and managed services.

• Projected annual cost is only $48,141 for all workloads.

Performance and Reliability:

• Achieved 99.95% Uptime SLA from the first day of official deployment.

• Improved AI/ML model training time by 50% using EC2 GPU instances.

• Database query performance increased by 40% compared to the legacy system.

• Auto-scaling response time is under 10 minutes during traffic spikes.

Accelerated Innovation:

• Shortened the development cycle by 50% thanks to CI/CD pipeline automation.

• Supports concurrent training of 5+ Large Language Models (LLMs).

• Processes real-time data streams with sub-second latency.

The Future: Scaling to Serve Millions of Users

With a robust AWS foundation, Vidimi is ready to scale to serve millions of users nationwide. The company plans to integrate additional AWS AI services, such as Amazon Textract for automated Optical Character Recognition (OCR) and Amazon Personalize for recommendation engines, continuing to elevate the user experience through technology.

AWS Services Deployed

• Compute: Amazon EC2, Auto Scaling

• Database: Amazon RDS (PostgreSQL Multi-AZ)

• Storage: Amazon EFS, Amazon S3

• Caching: Amazon ElastiCache for Memcached

• Networking: Amazon VPC, Application Load Balancer (ALB), NAT Gateway

• Security: AWS KMS, AWS Systems Manager, AWS WAF

• Monitoring: Amazon CloudWatch, AWS CloudTrail

• Backup: AWS Backup

• AI/ML: Amazon Bedrock, EC2 GPU instances

About GENEXTECH SOLUTIONS

GENEXTECH SOLUTIONS is an AWS Advanced Consulting Partner in Vietnam with over 10 years of experience and more than 50 AWS-certified experts. We specialize in providing comprehensive solutions, including Migration Assessment, AWS Migration, DevOps, Generative AI Solutions, Data Analytics, Cloud Security Optimization, and Infrastructure Modernization.

Combining deep expertise in the Vietnamese market with global standards, GENEXTECH SOLUTIONS is committed to partnering with businesses on their digital transformation journey on the AWS platform.

Contact:

• Email: innovate@genextech-solutions.com

• Phone: +84 38 569 4657

• Website: https://genextech-solutions.com