AI-Powered Buyers Agency Operations

The Challenge

Traditional property buyer workflows slow down when lead volume grows. Analysts spend too much time on repetitive listing checks, score normalisation, and status updates.

Our Approach

We designed an orchestration pipeline that pulls listing feeds, enriches each property with location and pricing context, and scores suitability against client briefs. Human operators review edge cases before shortlists are sent.

The System

• Listing ingestion and data cleanup
• Rules plus model-based scoring
• Automated client updates and weekly reporting
• Human approval step before outbound recommendations

The Results

• 42% faster shortlist production
• 31% reduction in manual admin hours
• Better consistency in recommendation quality

What's Next

Expand the score model with suburb-level rental and infrastructure trend signals.