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Development of a SaaS Platform for Personalized Home Buying Guidance with White-Label Capabilities

relevant.software

Financial services

Real estate

Information technology

Challenges in Property Purchase Process Automation

Homebuyers face complex decision-making processes requiring personalized financial planning, secure data handling, and integration with multiple financial institutions. Existing solutions lack tailored guidance, robust security frameworks, and modular architecture for white-label distribution.

About the Client

A UK-based fintech company providing digital solutions to streamline property purchasing processes for first-time homebuyers

Strategic Project Goals

Create a personalized property purchase planning system
Implement secure data architecture for sensitive financial information
Develop modular components for white-label partner integration
Establish third-party connectivity with financial and real estate services

Core System Capabilities

AI-driven property purchase planning algorithm
Mortgage affordability calculator with real-time financial projections
Deposit optimization recommendation engine
White-label API modules for partner integration
User progress tracking dashboard

Technology Stack Requirements

React

Redux

TypeScript

Node.js

PostgreSQL

WordPress

External System Connectivity

Banking APIs for financial data
Real estate listing platforms
Credit reporting agencies
Open banking solutions

System Quality Attributes

GDPR-compliant data security architecture
High-availability microservices design
Performance-optimized clustering for concurrent users
Automated security vulnerability detection

Anticipated Business Outcomes

Enable 25,000+ annual property purchase plans with 200,000+ monthly data points processed, achieve 90%+ user retention through personalized financial guidance, and establish partnerships with 50+ financial institutions through modular white-label solutions within the first 18 months of operation.