From Long Lists to the Right Homes Fast
AI-Powered Real Estate Recommendation System
AI property recommendations that help buyers find the right homes faster and help agents spend more time with high-intent leads.
Book a Case WalkthroughA leading UK property portal with 500k+ active listings needed a better way for buyers to discover relevant homes and for agents to focus on serious leads.
The Challenge
Buyers faced overwhelming search results, and agents spent too much time on early filtering instead of closing deals.
- Overwhelming search results made it hard for buyers to spot the best options
- Too much manual filtering before a buyer could book a viewing
- Low-quality leads reached agents, slowing down deal progress
- Weak personalization across sessions and changing buyer needs
- Limited context on area factors like schools and nearby features
Our Solution
Softblues built an AI-powered real estate recommendation system that matches buyers to properties using machine learning plus behavior signals. Buyers can search in natural language, ask questions about a listing, compare options (including nearby schools), and get "similar properties" suggestions. A context manager keeps preferences across the session, and a set of AI agents handle search, Q&A, alternatives, and enrichment for richer results.
- Personalized property recommendations based on buyer behavior and preferences
- Natural language property search with context-aware results
- "Properties like this" suggestions on listing pages to keep users exploring
- Property Q&A and comparison, including school distance and ratings
- Agent-focused lead filtering with alerts based on buyer preferences
Built with Enterprise-Grade Technology
Goals and Objectives
The client came to us with clear objectives to transform their operations.
Personalized Homepage Suggestions
Show relevant properties on the homepage so buyers find good matches faster
Map-Based Suggestions
Display properties on a map with area context to support location decisions
Lifestyle Filters
Add lifestyle filters so buyers can match homes to daily needs and preferences
Similar Properties
Show "properties like this" on listing pages to keep buyers browsing
Agent Lead Dashboards
Give agents dashboards with stronger leads and less manual early-stage searching
Automatic Alerts
Send property alerts based on buyer preferences to help agents react faster
See the Platform in Action
From intake to completion, explore how the solution transforms operations.
Property Search Assistant Results
Users type a request like "find me a two bedroom house in Camden" and get a short, ranked list of relevant properties. Results are shown as cards for fast scanning and quick next steps.
Similar Properties in the Area
On a listing page, users can request similar homes nearby. The assistant proposes close alternatives so the buyer does not need to restart the search.
School Comparison Table
For family-focused searches, the system compares nearby schools for each property. It shows distance and rating so users can decide faster without leaving the page.
Platform Architecture Scheme
The diagram shows the full flow from data ingestion to AI agents that handle search, Q&A, alternatives, enrichment, and session context. It also highlights the SQL + vector search approach and how user context is stored.
How It All Works Together
Data Processing Pipeline
ETL pipeline that extracts raw property data, standardizes formats across agencies, validates key fields, and saves structured data for search and recommendations.
Context Management Layer
A central context manager keeps session data from the last searches and user preferences to improve follow-up suggestions and comparisons.
AI Agents Network
Specialized agents handle recommendations, property Q&A, alternatives, and general agency questions, with result enrichment and related query suggestions.
Multi-Database Setup
Core property database plus metadata storage and vector databases for semantic search, along with agency metadata and user context data.
Value and Impact Delivered
Measurable improvements across every dimension of operations.
Faster Property Search
Cut property search time by 60% using smart suggestions and better ranking.
Agent Productivity
Increased agent productivity by 40% with automatic lead filtering.
Better Leads
Matched buyers to more relevant homes so agents speak to higher-intent leads.
User Engagement
Improved engagement by keeping users exploring with comparisons and similar properties.
Market Insights
Added market and pricing insights to support better decision-making.
Ready to Transform Your Real Estate Operations?
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