Rila Estate

Mobile real estate platform

Rila Estate is a modern real estate platform designed to make buying, selling, and exploring properties effortless. With AI-powered recommendations, interactive maps, and seamless chat integration, it connects users with the right opportunities faster than ever. By combining advanced technology with user-focused design, Rila Estate streamlines the real estate journey for buyers, sellers, and agents alike, fostering transparency, efficiency, and satisfaction.
  • Location USA
  • Industry Real Estate
  • Team Size 4 experts
  • Duration 11 months
  • Budget NDA
Case mobile app interface

Challenges

Rila Estate two mobile app screen
  1. Establishing a seamless real-time communication system to connect buyers, sellers, and agents effectively.

  2. Addressing the limitations of traditional platforms that lack dynamic and unified messaging capabilities.

  3. Developing a customizable map interface to display properties with precise filters aligned to user preferences.

  4. Delivering tailored property recommendations to enhance user engagement and satisfaction.

Solution

To overcome these challenges, we implemented a multi-faceted approach focused on innovation and user-centric design. For seamless communication, we developed an advanced, customizable chat system with real-time messaging and a redesigned interface for enhanced usability.

To optimize property search, we integrated AI-powered recommendations and dynamic map customization, enabling users to find tailored property options effortlessly.

Finally, to ensure high performance across platforms, our dedicated team conducted rigorous development and testing cycles, delivering a stable, scalable solution that meets the diverse needs of buyers, sellers, and agents.

Rila Estate mobile app listing

our input

  • Mobile solution architecture

  • Ios development

  • Back-end Development

  • Quality Assurance

App functionality

Rila Estate mobile app maps
  • User profiles

  • Property listing

  • Mapbox

  • Search filter

  • Interactive map integration

  • Chats

  • AI assistant

  • Getstream.io

how we did it

  • AI-POWERED RECOMMENDATIONS

    Personalized onboarding surveys and AI-driven profiles deliver tailored property suggestions, improving user satisfaction.
  • faster property search

    Through AI-powered recommendations and customized maps, we doubled the speed and efficiency of property discovery.
  • Ongoing Partnership

    Post-launch, our ongoing collaboration allows us to refine features, optimize performance, and scale the platform seamlessly.
  • ADVANCED CHAT INTEGRATION

    Redesigned chat with real-time messaging and customization enhanced user communication and interaction.
  • MONTHS TO DELIVER

    We successfully delivered a fully functional real estate platform within three months, focusing on user-centric design and advanced features to meet complex market needs.
  • CUSTOM MAP FEATURES

    Interactive, filterable maps provide a seamless and efficient property search experience by allowing users to explore properties based on specific criteria such as location, price range, and property type. The maps were designed with dynamic customization options, enabling users to toggle between views, apply filters, and highlight key areas of interest.

Technologies
we used

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    Crashlytics

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    GetStream Chat

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    MapBox

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    AppCenter CI

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    Google Analytics

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    Alamofire

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    UIkit

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    Swift

Rila Development Process

  • Tech Solution Preparation

    During this phase, we designed a scalable architecture and selected the best technologies to ensure high performance and seamless user experiences. We prioritized user-centric design principles while preparing detailed roadmaps for both frontend and backend development.

    1
  • Solution Integration

    Once the tech framework was established, our team began integrating the key features into the platform. Interactive, filterable maps were developed to provide an intuitive property search experience, while AI-driven surveys and onboarding were implemented to create personalized property recommendations.

    2
  • Maintenance, Support, and Testing

    Post-development, our team focused on rigorous testing to ensure the platform’s stability, responsiveness, and error-free performance. The QA process involved identifying and resolving bugs, optimizing features, and conducting multiple testing cycles across devices. Continuous monitoring and support enabled us to fix issues promptly and implement user feedback effectively.

    3

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