AI Nearshoring Site Selection
The Problem
“Slow, risky nearshoring site selection decisions”
Organizations face these key challenges:
1
Data fragmentation and inconsistency across markets (inventory, utilities, labor, incentives, zoning, hazards) makes apples-to-apples comparison difficult
2
High uncertainty in time-to-operate due to permitting, power availability, environmental constraints, and construction/fit-out lead times
3
Opportunity cost from slow shortlisting and underwriting, causing missed sites in tight industrial markets and weaker negotiating leverage
Impact When Solved
Automated site scoring and shortlist generation across 20-100+ candidate locations in hours, not weeksEarlier risk detection (power, permitting, hazards, community opposition) reduces late-stage deal fall-through and change ordersScenario-based total cost and timeline forecasting improves investment committee confidence and speeds approvals by 30-50%