Development of a Tenant-Matching SaaS Platform for Shared Living Communities

A fast-growing real estate technology startup lacks an automated platform to help landlords and tenants identify compatible roommate groups. The client faces challenges in transforming tenant profiles into actionable insights and building a reliable matching engine, hindering user experience and operational efficiency.

A technology startup specializing in creating shared living industry platforms, targeting segments such as student and senior housing, aiming to improve tenant matching and community compatibility.

• Develop a scalable software platform to enhance tenant compatibility analysis.
• Enable landlords to access detailed tenant profiles derived from psychometric and preference data.
• Create an intelligent matching engine that identifies compatible roommate groups based on user profiles.
• Facilitate quick onboarding and candidate screening to support rapid deployment in the market.
• Achieve high-quality, reliable system performance with timely delivery and smooth user interactions.

• User psychometric data collection and profile transformation
• Tenant profile management interface
• Matching engine capable of analyzing compatibility scores between users
• Landlord dashboard to view tenant profiles and proposed roommate matches
• Candidate screening and interview scheduling integrations
• Real-time notifications and updates for landlords and tenants

• Psychometric testing and assessment tools
• User authentication and identity verification systems
• Communication tools such as email or messaging APIs
• Notification services

• System should support rapid onboarding with candidate setup within hours
• High system uptime and availability (aim for 99.9% uptime)
• Secure handling of personally identifiable information (PII)
• System scalable to accommodate growing user base and profiles

The new platform aims to significantly improve tenant matching accuracy and speed, reducing operational costs and increasing user satisfaction. It is expected to streamline tenant onboarding processes, enhance landlord insights, and support rapid market deployment, ultimately leading to increased occupancy rates and competitive advantage.