AI-RE

Problem

Australian real estate agencies experience heavy administrative overhead and lag in responding to buyer inquiries 24/7. Managing listing details, coordinating client inspection calendars, tracking multi-buyer offers, and routing contract documents manually creates transaction friction and costs sales.

Solution

Developed AI-RE, a unified web platform integrating generative AI for listing descriptions, automated email and chat responders, client calendar bookings, an audited offer ledger, and secure document storage.

Key Features

• Automated AI copywriter generating professional real estate listing descriptions from spec sheets and criteria
• 24/7 conversational responder answering property enquiries, pre-qualifying leads, and auto-scheduling viewings
• Interactive geospatial suburb search and listing maps powered by Leaflet clustering
• Digital offer ledger and bid submission pipelines with automated status alerts for agents and buyers
• Online calendar scheduler enabling clients to book, cancel, or reschedule inspections without phone coordination
• Secure document vault with role-based restrictions protecting sensitive contract sheets and buyer documentation

Challenges

• Configuring LLM context trees to respond with exact property details and suburb guidelines while preventing factual hallucinations.
• Developing a lightweight client-side Leaflet mapping component capable of rendering cluster-markers for active listings without performance degradation.
• Enforcing strict database-level RBAC rules on the offer-negotiation state machine to preserve confidentiality between competing bidders.

Results

• Delivered an operational real estate automation platform active in the Australian market, shortening listing-to-offer timelines.
• Reduced manual agent response workload by over 80% through pre-qualified buyer chat routing and automated scheduling.
• Consolidated offer tracking, calendar bookings, and client contracts into a single audit-secure web dashboard.