Carisma Spa
The Challenge
Carisma Spa needed to expand with a new location but was facing major hurdles in the property search process:
- Manual, time-consuming property searches with no clear criteria
- Hours wasted browsing listings that didn't meet business requirements
- Uncertainty about location potential and market demographics
- Numerous unnecessary site visits to inappropriate properties
The Solution: AI-Powered Property Finder
We built a predictive analysis system that could identify optimal property locations by combining market data, customer demographics, and business requirements.
How We Built It: The AI Property Matching System
Data Collection & Integration
We built systems to collect and organize relevant data from multiple sources:
- Property listings from multiple real estate databases
- Demographic data of target customer segments
- Foot traffic analysis in potential areas
- Competitor mapping and market saturation metrics
Business Requirements Modeling
We worked with Carisma Spa to translate their business requirements into quantifiable parameters:
- Minimum square footage and specific layout needs
- Target customer proximity and public transport access
- Parking availability and street visibility factors
- Budget constraints and ROI projections
Predictive Analysis Engine
We developed a machine learning model to score and rank properties:
- Weighted scoring system based on critical requirements
- Predictive revenue modeling based on location attributes
- Competitive analysis to identify underserved markets
- Growth potential forecasting using demographic trends
Property Matching & Visualization
We created an intuitive interface to present the results:
- Ranked property listings with match percentage scores
- Interactive maps showing customer density and competitor proximity
- Virtual tours of highest-rated properties
- Detailed analysis reports for top contenders
AI Agents Powering the System
- Data Collection Agent: Continuously scraped property listings and market data, normalizing information from different sources
- Demographic Analysis Agent: Identified patterns in customer data to determine optimal location characteristics
- Property Matching Agent: Applied the scoring algorithm to find the best matches based on all requirements
- ROI Projection Agent: Calculated potential returns based on location, traffic, and market factors
The Results
"AI Partners helped us find our new location by analyzing the best areas and filtering properties. They then helped us close the deal in person. Saved us a lot of time in the search process." — Mert Gulen, CEO