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Real Estate Platform Enhancement & Modernization
  1. case
  2. Real Estate Platform Enhancement & Modernization

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Real Estate Platform Enhancement & Modernization

leobit.com
Real estate

Business Challenges

The client experienced declining user engagement due to website functionality and UX issues. Existing architecture based on WordPress templates and WooCommerce was struggling to keep pace with advancements in proptech, leading to performance bottlenecks and hindering the ability to deliver a competitive user experience. They needed to improve search functionality, personalize content, and enhance website performance for increased transaction speed and improved search engine ranking.

About the Client

A US-based real estate agency specializing in properties in Austin, Texas, providing a user-centric online platform for property search and facilitating connections between buyers and agents.

Project Goals

  • Redesign and modernize the real estate search portal for enhanced user experience.
  • Upgrade the platform architecture to leverage cloud technologies (AWS) for improved scalability and manageability.
  • Enhance search functionality with advanced filtering options and a map-based property search.
  • Integrate with MLS and other third-party services to provide a comprehensive property listing experience.
  • Improve website performance and loading times.
  • Implement robust customer support automation through integrations with Zendesk and Amazon SES.

Functional Requirements

  • Advanced property search filters (size, location, price, condition, etc.).
  • Map-based property search with interactive property information display.
  • Integration with MLS for real-time property listing data.
  • Customer support integration with Zendesk (routing, history, flags).
  • Email automation via Amazon SES.
  • Chatbot system for automated customer support.
  • Integration with Google Maps for custom map sharing.

Preferred Technologies

WordPress
WooCommerce
AWS Cloud Technologies
PHP
JQuery
MySQL
RDS
JMeter
Google Maps API
MLS Query
WPCron
Amazon SES
Zendesk
S3
AWS Lambda

Integrations Required

  • MLS (Multiple Listing Services)
  • Zendesk
  • Amazon SES
  • Google Maps API

Non-Functional Requirements

  • Scalability to handle increasing user traffic and data volume.
  • High performance and fast loading times.
  • Security to protect user data and prevent unauthorized access.
  • Maintainability for easy updates and future enhancements.

Expected Business Impact

This project will significantly improve the client’s competitive position by providing a modern, user-friendly, and feature-rich real estate search platform. Expected benefits include increased user engagement, higher conversion rates, reduced customer support costs, improved brand reputation, and a stronger online presence within the Austin real estate market.

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