AI Property Matching - 69+ Attributes Smart Algorithm
Master Tesoro's advanced AI property matching system with 69+ enum types, reverse matching, interest scoring, and intelligent property suggestions for maximum deal conversion.
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Tesoro CRM's AI Property Matching system is one of the most advanced property algorithms in the real estate industry. With 69+ property enum classifications, bidirectional matching, and intelligent interest scoring, the system maximizes your deal conversions.
This guide shows you how to leverage the complete AI matching system for optimal results.
AI Matching Algorithm Overview
69+ Property Enum Types - Complete Breakdown
Basic Property Classifications
- Status: Active, Sold, Rented, Off-market
- Type: House, Apartment, Commercial, Plot
- ContactType: Sale, Rent, Both
- TransactionType: Buy, Rent, Lease
Structural & Location Features
- FloorType: Ground, First, Second, Penthouse, etc.
- BuildingStatusType: New, Existing, Under construction
- OrientationType: North, South, East, West, Southeast
- ViewType: Sea, Mountain, City, Garden, Pool
Interior & Comfort Systems
- FurnishedType: Unfurnished, Semi-furnished, Fully furnished
- KitchenType: Independent, American, Office, Equipped
- HeatingType: Central, Individual, Gas, Electric, Solar
- HotWaterType: Gas, Electric, Solar, Central
Advanced Property Features
- SwimmingPoolType: Private, Community, Indoor, Outdoor
- GarageType: Private, Community, Underground, Surface
- GardenType: Private, Community, Roof, Terrace
- EnergyRatingType: A, B, C, D, E, F, G ratings
AI Matching Workflow - Step by Step
1
1. Deal Criteria Analysis
The AI algorithm analyzes all deal criteria:
- Budget Range: price_min to price_max matching
- Location Preferences: Geographic boundaries and neighborhood specs
- Property Type Requirements: House, apartment, commercial preferences
- Size Specifications: M2 requirements, bedroom/bathroom counts
- Timeline Urgency: How quickly client wants to buy/rent
The system uses this data to create a 'matching profile'.
2
2. Property Database Scanning
The algorithm scans the complete property database:
- Primary Filters: Budget, location, type matching
- Secondary Filters: Size, bedrooms, bathrooms criteria
- Feature Matching: Swimming pool, garage, garden requirements
- Advanced Criteria: Energy rating, view, orientation preferences
- Availability Check: Status verification (active, available)
Each property gets a 'match score' from 0-100%.
3
3. Interest Scoring & Ranking
Advanced interest scoring algorithm:
- Historical Data: What has this client viewed before?
- Engagement Metrics: Time spent per property type
- Similar Clients: What did similar clients buy?
- Market Trends: Which properties perform well?
- Agent Insights: Input from the assigned agent
Properties are ranked by conversion probability.
4
4. Reverse Matching Implementation
Reverse matching for new properties:
- New Property Analysis: All attributes of new property
- Deal Database Scan: Search active deals with matching criteria
- Compatibility Scoring: Match score calculation per deal
- Agent nietifications: Alert agents about potential matches
- Interest Tracking: Monitor which deals show interest
This maximizes property exposure and deal opportunities.
Advanced AI Features & Optimization
Geographic Intelligence
- Coordinate Precision: GPS coordinates accurate to 10 decimals
- Neighborhood Analysis: District-based matching
- Distance Calculations: Travel time and distance calculations
- Location Preferences: School districts, transport, amenities
Market Intelligence Integration
- Price Trend Analysis: Market price vs listing price
- Comparable Properties: Recent sales in area
- Market Velocity: How fast properties sell in area
- Investment Potential: ROI calculations for investors
Multi-Language Property Descriptions
- AI Translation: OpenAI powered content translation
- Language-Specific Matching: Match client language preferences
- Cultural Adaptations: Local market terminology
- SEO Optimization: Search-friendly property descriptions
AI Matching Optimization Tips
Frequently Asked Questions
How accurate is the AI matching algorithm?
The AI algorithm has an 85-92% accuracy rate for property-deal matching, depending on data completeness. With more client feedback and market data, the algorithm becomes even more accurate.
Can I customize the matching algorithm?
Yes! You can weight matching criteria, add custom filters, and prioritize specific property attributes via the advanced settings in your Tesoro CRM dashboard.
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