AI property matching for realtors and tenants

About the client

Nesti is an innovative AI-powered web platform designed to streamline the process of connecting realtors and tenants. The platform leverages AI to match prospective tenants with properties based on their preferences and needs, while offering realtors a powerful tool for managing listings and tenant inquiries. Despite its forward-thinking concept, Nesti faced challenges in usability, user engagement, and scaling its features to meet the growing demands of both realtors and tenants.

The problem

Initially, the client had only a rough idea of the main features she wanted to implement.

The process

AI Enhancement, UX Overhaul, and Scalable Infrastructure

We approached Nesti's challenges with a focus on improving the AI matching system, redesigning the platform's user experience, and building a more scalable infrastructure. The key steps were:

1. 01

   AI Optimization for Better Matching

   • Refined the AI algorithm to better analyze tenant preferences and match them with properties that aligned with their budget, location, and lifestyle.
   • Integrated real-time learning capabilities, allowing the AI to improve accuracy by adapting to tenant behavior and preferences over time.
   • Developed property scoring features that helped the AI rank listings based on relevance, improving the quality of recommendations for tenants.
2. 02

   User Experience Redesign

   • Conducted in-depth user research to identify pain points in both the tenant and realtor journeys.
   • Redesigned the platform's layout, simplifying navigation for both user groups. The new interface provided an intuitive dashboard for realtors to manage listings and inquiries, while tenants benefited from an easy-to-use search and filtering system.
   • Introduced guided onboarding for new users, helping realtors quickly upload listings and tenants set accurate preferences for more personalized property suggestions.
3. 03

   Scalability and Performance Upgrades

   • Migrated the platform to a more robust, cloud-based infrastructure that allowed for better handling of high traffic and multiple user sessions.
   • Improved page load times by optimizing images and implementing caching mechanisms, ensuring the platform remained fast and responsive as it scaled.
   • Developed new features that catered to realtors managing multiple listings, including batch updates and automated tenant responses, improving productivity.
4. 04

   A/B Testing and User Feedback

   • Implemented A/B testing to refine both the AI-driven matching system and the redesigned UX based on real user feedback.
   • Regularly gathered insights from realtors and tenants to ensure the platform continuously met their evolving needs, making iterative improvements to both design and functionality.

The solution

A High-Performance AI Platform Connecting Realtors and Tenants Seamlessly

The improvements to Nesti's AI, user interface, and infrastructure resulted in a dramatic increase in user satisfaction, platform engagement, and successful property matches. Key outcomes include:

1. 01

   Accurate AI Matching

   • The newly optimized AI now provides highly accurate property recommendations, with a 75% increase in successful matches between tenants and available properties. Tenants are now more likely to find homes that meet their specific needs, resulting in higher engagement and trust in the platform.
2. 02

   Streamlined User Experience

   • With a simplified, user-friendly interface, both realtors and tenants reported a 60% improvement in ease of use. Realtors can now manage listings more efficiently, while tenants enjoy a hassle-free experience browsing and filtering properties.
3. 03

   Scalable and Robust Performance

   • Nesti's cloud-based infrastructure enabled the platform to handle a 50% increase in traffic without performance degradation. Realtors managing multiple listings benefit from batch processing tools, while the platform remains fast and responsive even under high loads.
4. 04

   Increased Conversion Rates

   • The enhanced matching and user experience led to a 40% increase in conversions, with more tenants successfully securing rentals and more realtors closing deals through the platform.
5. 05

   Positive User Feedback

   • User satisfaction surveys show that 85% of both realtors and tenants now find the platform highly effective, citing the intuitive interface and accurate property recommendations as major improvements. The platform's success has been reflected in growing word-of-mouth referrals and repeat users.