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Real Estate Agent Connection Platform Development

essentialdesigns.net

Real estate

Challenge

Home sellers and buyers typically choose a real estate agent after deciding to buy or sell, limiting early engagement opportunities for agents. This results in missed opportunities for agents to build relationships with potential clients proactively.

About the Client

Agent Avenue is a platform focused on connecting home buyers and sellers with real estate agents in the US and Canada, aiming to disrupt the traditional agent selection process.

Project Objectives

Enable real estate agents to connect with potential clients earlier in the buying/selling process.
Provide a free resource for consumers to easily post property opportunities and compare agent services.
Increase agent lead generation and client acquisition.
Disrupt the traditional real estate agent selection flow.

Functional Requirements

Property listing creation and management (by owners).
Agent profile creation and management.
Agent interest indication on property listings.
Consumer agent connection functionality.
Search and filtering capabilities for properties and agents.
User authentication and authorization.
Fee payment processing for agents.

Preferred Technologies

Responsive Web Design

Web-based platform

Potentially a modern JavaScript framework (React, Angular, or Vue.js)

Cloud-based hosting (AWS, Azure, or Google Cloud)

Integrations Required

Payment gateway integration (e.g., Stripe, PayPal)
Mapping service integration (e.g., Google Maps API)

Key Non-Functional Requirements

Scalability to handle a growing user base and property listings.
High performance and responsiveness.
Security to protect user data and financial transactions.
Accessibility for users with disabilities.

Estimated Impact

By enabling early agent-client connections, the platform is expected to significantly improve agent lead generation, increase client satisfaction, and provide a more efficient real estate transaction experience. The platform's value proposition, as indicated by user feedback, is expected to be substantially higher than competing solutions.