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Development of a Personalized Property Buying Assistance SaaS Platform
  1. case
  2. Development of a Personalized Property Buying Assistance SaaS Platform

Development of a Personalized Property Buying Assistance SaaS Platform

relevant.software
Real estate

Identified Challenges for Property Buyers and Advisors

The client’s service needs a custom algorithm and recommendation engine that analyzes extensive real estate and financial data to automatically plan individual property purchase processes. Additionally, the system must securely handle sensitive user data with a security-driven architecture and enable modules such as mortgage calculators and deposit builders to be offered as white-label products to partners.

About the Client

A mid-sized fintech or property advisory firm aiming to streamline the home purchasing process for UK buyers through a specialized SaaS platform.

Goals for the Property Assistance SaaS Platform Development

  • Create a secure, scalable SaaS platform that personalizes property buying strategies for users.
  • Implement a recommendation engine that analyzes large datasets to generate tailored property purchase plans.
  • Develop modules including mortgage calculations and deposit savings simulations accessible via white-label options for partners.
  • Ensure integration with banking, real estate, credit bureaus, and open banking APIs.
  • Deliver a highly secure system with robust data segregation, penetration testing, static code analysis, and security assessments.
  • Achieve a high user adoption rate with over 5,000 active users and facilitate the planning of more than 25,000 property purchases within the first year.

Core Functional System Requirements for Property Purchase Assistance

  • Property buying plan generator that guides users through personal property acquisition timelines and savings targets.
  • Mortgage calculator providing projections based on user's income, location, and savings data.
  • Deposit builder module that recommends optimal savings accounts and strategies to maximize deposit accumulation.
  • Integration with external financial, real estate, and credit reporting systems via APIs.
  • A microservice architecture enabling independent deployment and scalability of system modules.
  • Advanced security architecture incorporating encryption, access controls, security assessments, penetration testing, static code analysis, and data segregation measures.

Preferred Architectural and Technology Stack

Microservice architecture for modularity and scalability
Node.js with clustering for backend processing
TypeScript for static typing, maintainability, and stability
React and Redux for frontend development
PostgreSQL for data storage
WordPress for marketing or landing pages as needed

Essential External System Integrations

  • Banking APIs / Open banking solutions for financial data
  • Real estate listing and property data feeds
  • Credit reporting agencies for user credit profiles
  • Payment gateways for transactions (if applicable)

Non-Functional System Requirements

  • High security standards including penetration testing, static code analysis, and data encryption
  • Data segregation to protect user privacy and sensitive information
  • Scalability to support at least 5,000 active users within the first year
  • Performance optimization to process over 40,000 data points for property planning
  • Availability and uptime of 99.9%

Projected Business Impact and Benefits

Successfully delivering the platform is expected to facilitate over 25,000 property purchase plans, support more than 5,000 active users in its first year, and process upwards of 200,000 data points, significantly increasing efficiency, user engagement, and trust in the property purchasing process.

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