AI Industrial Park Planning
The Problem
“Slow, risk-prone industrial park site planning”
Organizations face these key challenges:
1
Fragmented data and manual GIS/CAD workflows make it hard to evaluate sites consistently and quickly across markets
2
High uncertainty in entitlement, infrastructure capacity, and tenant demand leads to layout churn, schedule slips, and budget overruns
3
Limited scenario testing results in suboptimal phasing, utility sizing, and road/truck circulation that hurt leaseability and returns
Impact When Solved
Rank sites and masterplans with quantified risk/return, cutting decision cycles by 30–60%Optimize layout, phasing, and infrastructure sizing to improve net sellable/leaseable area by 5–15%Reduce redesign, delay, and failed-site diligence losses, protecting $250k–$1.5M per avoided mistake