# How We Helped Our Leading Retail Fintech Client Modernize Their Point-of-Sale Application

Our client is a leading rent-to-own service provider based out of the US that offers leasing services for commodities like furniture, appliances, and...

_2023-10-04 · Retail & Supply Chain · Data & Analytics_

## At a glance

Our client is a leading rent-to-own service provider based out of the US that offers leasing services for commodities like furniture, appliances, and electronics. They provide services through an e-commerce website and around 2000+ offline storefront locations across the country.

- **43%** — Reduction in operational cost
- **78%** — Efficient data management
- **83%** — Enhanced application performance

## Challenges: Outdated data management application

The client had a legacy POS application, built over a decade ago using Java, Hibernate, and an Oracle database backend. So, they struggled to adapt evolving industry demands & resulted in challenges like

- **Legacy Technology Stack:** The existing POS system was outdated, hindering scalability and agility.
- **Data Quality Concerns:** Data integrity was compromised due to the legacy systems, necessitating a data model redesign.
- **Massive Data Migration:** Migrating over 10 TB of data, including 900+ tables, posed a complex process.

To address these challenges, the client sought a team of experts to migrate to a cloud-based, modular POS solution & enhance data management capabilities.

## Solution: Modernizing POS system & simplifying data management process

Our team analyzed the client's existing application and devised a strategic solution that best fits their organizational needs.

- **Modern Application Development:** We developed a modern POS application using React JS for the front end, Node JS for the backend, and AWS Aurora PostgreSQL as the database. This modern stack empowered to build a scalable application, enhancing its performance and user experience
- **Data Model Redesign:** We redesigned the transactional data to resolve business hurdles using normalization and efficient indexing, ensuring data integrity and overall system efficiency.
- **Seamless Data Migration:** To ensure a seamless migration of historical data from the legacy transactional database to the restructured PostgreSQL database, we devised a seamless migration strategy. This involved Oracle-side transformations, data storage in stage tables, and migration using AWS Data Migration Services (DMS).
- **Database Optimization:** We streamlined the data model by reducing the number of tables from 900+ to under 500. Additionally, we designed purpose-built databases, like the Config Database, to manage business rules for application access and configuration.

## Benefits: Achieving scalable data management application

- **Improved Scalability and Agility:** By migrating to a cloud-based modular POS system, the client achieved enhanced scalability and agility in their operations.
- **Enhanced Application Performance:** The new microservices-based architecture and optimized data model significantly improved application performance, providing users with a smoother and faster experience.
- **Efficient Data Management:** The streamlined data model and purpose-built databases enhanced data efficiency, ensuring that data was organized and accessible.
- **Cost savings:** The cloud-native approach brought about cost savings, allowing overall resource utilization.

## Ready to modernize your application architecture & enhance data efficiency?

Whether you're struggling with legacy systems or striving to enhance data integrity, we've got the expertise to transform your data landscape. By leveraging in-depth knowledge of modern data solutions, we'll devise a bespoke solution that resonates with your unique business needs.

Streamline your data management, enhance data quality, and optimize costs with our cutting-edge solutions.

**Connect with us to embark on a transformative journey.**