Scaled fractional property trading with 30% less drop-offs

A secure, real-estate trading platform processing 100K+ transactions daily

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30%

Reduction in user drop-off

50%

Decrease in onboarding time

40%

Improvement in decision-making efficiency

Client Overview

A real estate investment platform wanted to enable users to browse properties and buy or sell fractional shares of residential homes, commercial buildings, and land.

We were tasked with building a system capable of handling fractional share allocations, rental dividend distributions, and facilitating secondary market trades efficiently.

Challenges

We faced several technical challenges in bringing their innovative concept to market.

Architectural and system reliability

The platform required management of multiple interconnected systems handling thousands of daily transactions, with high trading periods threatening performance degradation and data integrity.

Onboarding friction

Industry-standard regulatory verification processes were causing up to 88% user abandonment, threatening the viability of the fractional property trading platform.

Market prediction uncertainty

Fluctuating real estate valuations and multiple economic variables created significant investment risk, hampering user confidence in fractional property decisions without reliable forward-looking insights.

Solution

We developed a scalable, cloud-native platform with integrated compliance and predictive analytics.

API integration framework

Implemented robust integrations with tools to facilitate primary and secondary market operations while managing compliance with real-time order processing.

Secure authentication and banking

Integrated automated KYC/AML verification with streamlined authentication options, while enabling secure bank account linking for direct fund transfers to wallets.

Intuitive design

Included elements like advanced filtering options, comprehensive property details, and interactive portfolio visualization tools for asset monitoring and clear investment insights.

AI-powered analytics

Embedded ML models for property pricing prediction to analyze market trends and use housing market data for geospatial forecasting.

Business Impact

Our comprehensive approach addressed both technical challenges and user experience requirements.

Reduced user drop-offs

Streamlined onboarding process and user experience improvements reduced new user drop-off rates by 30%, significantly enhancing customer acquisition.

Improved onboarding & compliance

Automated KYC/AML verification reduced user onboarding time by 50% while maintaining 100% regulatory adherence.

Enhanced scalability

Cloud infrastructure efficiently handles 10,000+ concurrent users and processes up to 100,000 daily transactions without performance degradation.

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