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Development of a Scalable Fractional Property Trading Platform with Enhanced User Onboarding and Compliance
  1. case
  2. Development of a Scalable Fractional Property Trading Platform with Enhanced User Onboarding and Compliance

Development of a Scalable Fractional Property Trading Platform with Enhanced User Onboarding and Compliance

simform.com
Real estate
Financial services

Identified Challenges in Building a Secure, Efficient Fractional Property Trading System

A real estate investment platform aims to enable users to browse properties, and buy or sell fractional shares of real estate assets. The platform faces significant challenges including managing high volumes of interconnected transactions, reducing user drop-off during onboarding due to regulatory verification processes, and dealing with market prediction uncertainties caused by fluctuating property valuations. These issues hinder user experience, compliance adherence, and investment decision confidence, limiting growth potential.

About the Client

A mid-to-large scale real estate investment platform specializing in fractional ownership and secondary trading of residential, commercial, and land assets, seeking to modernize their digital infrastructure.

Key Goals for Developing a Future-Ready Fractional Property Trading System

  • Reduce user onboarding dropout rates by 30% through streamlined verification processes.
  • Decrease onboarding time by 50% while maintaining full compliance with relevant regulations.
  • Design a scalable platform capable of handling over 10,000 concurrent users and processing up to 100,000 transactions daily without performance issues.
  • Implement operational features for primary and secondary market trades and asset allocation management.
  • Enhance decision-making with integrated predictive analytics for real estate market trends and geospatial property valuation forecasting.

Core Functional Specifications for the Fractional Property Trading Platform

  • API integration framework to facilitate seamless primary and secondary market operations with real-time order processing.
  • Automated KYC/AML verification coupled with streamlined authentication and secure bank account linking for direct fund transfers.
  • User-centric interface with advanced filtering, detailed property views, and interactive portfolio visualization tools.
  • Embedded machine learning models for property pricing prediction, market trend analysis, and geospatial property valuation forecasting.
  • High-availability architecture capable of supporting high transaction volumes and concurrency.

Preferred Technologies and Architectural Approaches

Cloud-native architecture
API-first design
ML-based analytics models for predictive insights
Secure authentication and integration protocols

Essential External System Integrations

  • Real-time compliance verification tools (KYC/AML)
  • Banking and payment gateways
  • Property data sources for market insights and geospatial analysis

Critical Non-Functional System Requirements

  • Support for over 10,000 concurrent users with scalable cloud infrastructure
  • Processing capacity for up to 100,000 transactions per day
  • High system reliability and data integrity during peak trading periods
  • Data security and regulatory compliance adherence

Anticipated Business Outcomes from the New Trading Platform

The development of this scalable, secure, and analytics-driven fractional property trading platform is expected to significantly reduce user onboarding drop-offs by 30%, cut onboarding time by 50%, enhance operational capacity to handle 10,000+ concurrent users and 100,000+ daily transactions, and provide reliable investment trend insights, thereby fostering increased user confidence, operational efficiency, and market growth.

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