AI Highest & Best Use Analysis
The Problem
“Slow, inconsistent highest-and-best-use decisions”
Organizations face these key challenges:
Data fragmentation: comps, zoning, permits, pipeline supply, and construction costs live in separate systems and are time-consuming to reconcile
High subjectivity and inconsistency: different teams produce different HBU conclusions for the same site, complicating investment committee and lender review
Limited scenario coverage: manual modeling typically tests only a handful of uses and sensitivities, missing feasible alternatives and downside risks
Impact When Solved
Real-World Use Cases
AI Property Valuation & Automated Appraisal
This is like an always-on digital appraiser that looks at thousands of past property sales, current listings, and local market signals to estimate what a home or building is worth—instantly and consistently—rather than waiting days for a human-written appraisal report.
Deep Learning-Based Real Estate Price Estimation
This is like an ultra-experienced real estate agent who has seen millions of property deals and can instantly guess a fair price for any home or building by looking at its features and location. Instead of human gut-feel, it uses deep learning to learn complex patterns from past sales data.