AI-Powered Property Search & Buyer Insights
Bridging AI, UX, and Real Estate to Personalise Property Search
The Challenge: A One-Size-Fits-All Property Search Experience
Traditional property search platforms force buyers to scroll through endless listings, often failing to surface homes that match their style and preferences. This lack of personalisation makes the process inefficient and frustrating.
On the other side, real estate agents struggle to connect with the right buyers. New agents find it hard to establish themselves, while experienced agents waste valuable time chasing unqualified leads.
A solution was needed that could:
Personalise property search results dynamically based on buyer preferences.
Reduce friction for buyers and agents, making the search and buying process more efficient.
Leverage AI to continuously improve search accuracy and agent-buyer matchmaking.
AI Strategy: Transforming Search with Data-Driven Learning
To solve this, IntelligentChoice was built with a machine-learning-driven approach that continuously adapts to buyer behaviour and feedback.
Defining the AI Approach
Developed an image classification model to recognise property styles (Architectural, Character, Suburban).
Implemented a swiping interface to collect buyer preferences in a natural, intuitive way.
Refined AI decision-making by using a multi-phase data-driven approach, improving classification accuracy from 70% to 90%.
Created an adaptive feedback loop where buyer interactions continually train the model, refining recommendations over time.
This strategic use of AI moved beyond static search filters, offering an intelligent, evolving recommendation system that learns what buyers truly want.


UX Research: Designing for Real Human Needs
AI alone wasn’t enough—the experience had to feel effortless and natural. Through UX research, usability testing, and iteration, the platform was designed to:
Understanding and Solving Key Pain Points
Buyers found existing platforms frustrating and inefficient—we streamlined the experience through interactive onboarding.
Agents struggled to find motivated buyers—IntelligentChoice matched agents with high-intent users, reducing wasted time.
A Research-Driven, Human-Centred Experience
Onboarding Task: Buyers swipe through 20 property images to train the AI quickly and personalise their search from the start.
Dynamic Search Refinement: As buyers interact, the AI continuously refines results based on new inputs, keeping the experience intuitive.
Agent Integration: Buyers can connect with an agent who helps refine their search, improving both online and offline interactions.
Through continuous testing and iteration, we ensured the platform was not just technically sound but also user-friendly and engaging.


Impact: AI + UX = A Smarter Real Estate Experience
By applying a strategic AI framework and UX-driven research, IntelligentChoice delivers:
A personalised, frustration-free search experience for homebuyers.
More efficient workflows for agents, reducing time wasted on unqualified leads.
A smarter, adaptive AI system that learns and improves with every interaction.