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Develop a Personalized Housing Search Platform for Expat Relocation Services
  1. case
  2. Develop a Personalized Housing Search Platform for Expat Relocation Services

Develop a Personalized Housing Search Platform for Expat Relocation Services

plavno.io
Real estate

Identifying Key Challenges in Expat Housing Search and Relocation

Relocating expatriates often encounter significant challenges in locating accurate, relevant, and personalized housing options in unfamiliar territories. Manual calculation of commuting distances and travel times is time-consuming and prone to errors, hampering decision-making. Additionally, consolidating listings from multiple sources introduces complexity in maintaining data accuracy and relevancy, leading to a suboptimal user experience.

About the Client

A real estate technology company aiming to streamline global expat housing searches through an interactive, data-driven platform.

Objectives for Creating an Efficient Expat Housing Search Platform

  • Implement an interactive, map-based housing search interface tailored to individual user preferences.
  • Integrate real-time route planning functionalities with external APIs to provide accurate commuting distances and durations.
  • Develop a robust data aggregation and validation system to ensure the accuracy and relevance of listings from multiple sources.
  • Allow users to save personalized search criteria for streamlined future searches.
  • Deliver a minimum viable product that demonstrates core functionalities to attract early investment and user feedback.
  • Achieve broad geographic coverage, targeting multiple countries and cities to support global expat relocations.

Core Functional Requirements for a Personalized Housing Search System

  • Tailored Search: Customize housing search results based on user-specific criteria such as location, budget, amenities, and preferences.
  • Interactive Mapping: Display available housing options on an interactive map with visual markers and filters.
  • Real-time Insights: Provide detailed, real-time information about each listing, including descriptions, images, addresses, costs, and amenities.
  • Saved Search: Enable users to save and reuse their search preferences for convenience.
  • API Integration: Automate route planning and distance calculation via external APIs like route distance and duration services.
  • Data Validation System: Regularly ingest and validate listings from multiple housing providers to ensure accuracy and relevance.

Preferred Technologies and Architectural Approaches

Integration with mapping and routing APIs (e.g., similar to Google Distance Matrix API)
Backend data aggregation and validation system
Responsive web design and mobile app compatibility
Agile development methodology

External System Integrations Necessary for Platform Functionality

  • Mapping and route distance APIs for real-time commuting data
  • Housing provider data feeds for automated listing updates
  • User authentication and profile management systems

Key Non-Functional Requirements for Platform Scalability and Reliability

  • Scalable architecture capable of supporting expansion to numerous countries and cities
  • High system availability and performance to handle real-time data processing
  • Secure handling of user data and listings
  • Regular automated data validation processes to maintain accuracy

Expected Business Impact and Value of the Housing Search Platform

The platform aims to significantly reduce the time and effort expended by expats in locating suitable housing options, leading to improved user satisfaction and decision-making. By automating route calculations and ensuring data accuracy, the platform is expected to enhance the overall relocation experience, facilitate faster placement in new homes, and attract a broader user base across multiple countries and cities, mirroring successful scale achieved in other implementations.

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