AI-Driven Property Valuation – Automated Valuation Model (AVM)
Developed an ML-powered rental AVM system to estimate property values and flag anomalies for a leading financial institution.
The client needed an AI-based valuation tool to bring consistency and transparency to rental benchmarks used for credit and pricing decisions.
Business Challenges
- Manual valuation processes prone to inconsistency
- Limited comparables for non-standard properties
- Delayed TAT on rental estimation
Plenum’s Solution
- Built AVM engine using regression and anomaly detection (VAE)
- Trained models using multi-emirate property data sets
- Enabled Power BI dashboards for rental benchmarking and validation
Key Capabilities Used
- Automated Valuation Engine
- Anomaly Detection
- Geospatial Analytics
- Interactive Dashboards
Outcomes & Impact
Reduced valuation time from days to minutes
90%+
Achieved pricing accuracy in 4 geographies
30%
Flagged of properties for validation or review
Technologies
Implemented
Supabase
Next.js
BigBlueButton
Kahoot
Flutter
Whatsapp API