AI Hotel Conversion Feasibility
The Problem
“Uncertain hotel-to-alternative-use conversion feasibility decisions”
Organizations face these key challenges:
Fragmented data and manual reconciliation across STR/CoStar, zoning, permits, and construction costs creates slow, inconsistent underwriting
High uncertainty around physical constraints (floorplate depth, window lines, egress, plumbing stacks) and regulatory approvals leads to late-stage deal failures
Difficulty comparing multiple end-use scenarios (renovate vs convert to multifamily/student/senior) with consistent assumptions and risk-adjusted returns