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Development of a Scalable Commercial Real Estate Platform with Advanced Data Integration
  1. case
  2. Development of a Scalable Commercial Real Estate Platform with Advanced Data Integration

Development of a Scalable Commercial Real Estate Platform with Advanced Data Integration

netguru.com
Real estate
Information technology

Identified Challenges in Modernizing Commercial Real Estate Platforms

The client faces outdated industry practices, limited customer-centric features, and inefficient leasing processes within the Swedish real estate market. They require a digital solution that simplifies property searching, enhances client engagement, and supports internal expansion through scalable architecture and integrated third-party services.

About the Client

A large-scale commercial real estate marketplace aiming to modernize property leasing and sales processes, catering to tenants, property owners, and consultants with a focus on user experience and data-driven insights.

Goals for Developing a Next-Generation Real Estate Platform

  • Design and implement a scalable and resilient platform architecture capable of supporting current and future expansion, serving at least 4,500 active users and 6,000 active listings.
  • Develop a comprehensive API to handle diverse data standards and formats, enabling seamless integration with multiple third-party services.
  • Deliver a user-friendly, modern, and intuitive interface that simplifies complex real estate data for end-users and improves overall user experience.
  • Establish advanced functionalities including property search, tailored user profiles, and property management tools.
  • Implement customizable integrations with external content providers, marketing platforms, invoicing and payment systems, and CRM tools.
  • Ensure extensive testing of business logic and third-party integrations to guarantee platform reliability and performance.

Core System Functionalities for the New Real Estate Platform

  • Personalized user profile creation and preference management.
  • Advanced property search with filters and extensive data points.
  • Integration with third-party services including social media campaign management, image and video ordering, invoicing, payments, and analytics.
  • Support for multiple listing types, including residential, commercial, retail, offices, and restaurants.
  • Real-time property data updates and analytics dashboard for property owners and agents.
  • API supporting multiple data formats for flexible integration with external databases and services.

Technological Foundations for a Robust Real Estate Platform

Microservices architecture for scalability and resilience
Ruby or equivalent language for business logic implementation
Modern frontend frameworks for intuitive UI/UX
API-first design principles

Essential External System Integrations for Enhanced Functionality

  • Social media campaign platforms (e.g., Facebook, Instagram) for marketing automation
  • Media content providers for ordering property images and videos
  • Invoicing and accounting systems for financial transactions
  • CRM systems for property listing management and analytics
  • Payment gateways supporting secure transactions
  • Search engines (e.g., ElasticSearch) for enriched property search results

Non-Functional Criteria for a High-Performance Property Platform

  • Platform must support at least 4,500 active users and 6,000 listings from launch, with scalability to grow further
  • High availability with resilience to failures
  • Robust security measures for user data and financial transactions
  • Optimized performance with fast load times and search response times
  • Compliance with data standards and privacy regulations

Projected Business Benefits of the New Real Estate Platform

The platform is expected to streamline the leasing process, reduce manual overhead, and improve customer satisfaction through enhanced data accessibility and user experience. Anticipated results include increased property visibility, faster deal closures, and scalable growth capacity. It would position the client as an innovative leader in the real estate industry, with the flexibility to incorporate future features such as lease digitization and data-driven opportunity identification.

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