AI Hotel Investment Analysis
The Problem
“Slow, inconsistent hotel deal underwriting and forecasting”
Organizations face these key challenges:
1
Fragmented, inconsistent data sources (STR/CoStar, P&Ls, comp sets, pipeline, events) requiring heavy manual cleaning and reconciliation
2
High sensitivity to assumptions (ADR/occupancy ramp, labor costs, capex) with limited ability to quantify uncertainty and tail risk
3
Time-consuming diligence document review (franchise/management agreements, brand PIPs, leases) that delays bids and increases execution risk
Impact When Solved
Standardized, auditable underwriting outputs across markets and asset classes, reducing model variance between teams by 30–50%Earlier identification of value drivers and red flags (comp mismatch, expense anomalies, capex underwrites), reducing failed deals and renegotiations by 10–20%