AI Property Buyer Platform
An AI-powered property buyer assistant designed for the Australian real-estate market.
The product helps buyers define what they want, receive relevant property matches, prepare for inspections and maintain continuity across their buying journey.
Client identity withheld due to confidentiality.
Context
Property buying is fragmented. Buyers move across portals, emails, notes, agent messages, inspection schedules, finance conversations, saved listings and personal preference lists. The product aimed to create a more connected buyer experience.
The challenge
The platform needed to understand both explicit and evolving buyer needs. A buyer may start with "three bedrooms, two bathrooms and a budget", but real preferences are more nuanced — lifestyle, commute, schools, condition, timeline, finance status and inspection feedback. The challenge was a system that remembers context and improves recommendations over time.
Users
- Property buyers
- Real-estate agents
- Buyer managers
- Mortgage brokers
- Solicitors
- Internal administrators
- Referral partners
Core workflows
Buyer profile
A structured representation of what the buyer needs.
AI property matching
Recommendations based on buyer criteria and evolving behaviour.
Saved properties
A central place for shortlist management.
Inspection workflow
Upcoming inspections, preparation, notes and feedback.
Persistent buyer memory
The assistant should remember previous conversations, preferences and changes.
CRM & referral integration
Buyer activity connects with the existing real-estate CRM and related service providers.
Design approach
Conversational but structured
AI interaction should feel natural, but important information must be stored in a structured way.
Progressive onboarding
Don't ask every possible question at once.
Persistent context
The buyer should not need to repeat information.
Actionable intelligence
AI should help buyers decide and act, not only answer questions.
Complexity
- AI + structured data
- Real-estate CRM integration
- Mobile-first product
- Long purchase lifecycle
- Multiple external partners
- Personal & financial information
- Evolving preferences
What this project demonstrates
Selected project details have been anonymized due to client confidentiality. No client names, logos or private information are shown.
More work
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