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Development of Scalable Data Platform and Enhanced UX for Fintech Purchase Intelligence Solutions

agileengine.com

Financial services

Fintech

Banking Services

Advertising

Challenges in Scalability, UX Modernization, and Legacy Systems

The client faced challenges with lengthy onboarding processes for financial institutions, outdated UX/UI across customer-facing applications, legacy systems limiting campaign management capabilities, and the need for scalable data infrastructure to handle analytics for over 170 million customers.

About the Client

A fintech SaaS company delivering purchase intelligence solutions to financial institutions, enabling data-driven decision-making and campaign management.

Key Goals for System Modernization

Reduce customer onboarding time from weeks to hours
Modernize UX/UI for web and mobile applications
Build a scalable cloud-native data platform
Replace legacy campaign management systems
Optimize database performance and development workflows

Core System Capabilities

Mobile and web SDKs for rapid financial institution onboarding
Portfolio management solutions for banks
Customizable campaign and merchant management tools
Reusable branding/UI components library
Real-time data pipelines for purchase intelligence
Cloud-native microservices architecture

Technology Stack Requirements

Kotlin

Swift

Vue.js

Vuex

.NET Core

AWS

Kafka

Apache Spark

Scala

Delta Lake

Node.js

REST APIs

System Integration Needs

Financial institution core banking systems
Cloud analytics platforms (AWS, Yellow Brick)
Third-party data sources for purchase intelligence

Performance and Scalability Expectations

Support for 170+ million customer data scale
High-throughput data streaming capabilities
Sub-second API response times for critical operations
99.99% system availability for financial services
Enterprise-grade data security and compliance

Anticipated Business Outcomes

The project will enable 3x faster onboarding of financial institutions, deliver modernized user experiences across all platforms, create a scalable data infrastructure for omnichannel analytics, and reduce operational costs through cloud migration and process optimization.