AI Warehouse Site Selection
The Problem
“Faster, Smarter Warehouse Site Selection Decisions”
Organizations face these key challenges:
1
Fragmented data across brokers, GIS tools, public records, and proprietary logistics datasets creates inconsistent site comparisons and missed constraints (zoning, utilities, environmental).
2
Entitlement and permitting timelines are uncertain and frequently underestimated, causing schedule slippage, budget overruns, and lost tenant commitments.
3
Manual scoring models cannot efficiently evaluate hundreds of parcels across multiple markets while incorporating network-level transportation costs, labor dynamics, and service-level requirements.
Impact When Solved
Shortlist viable sites 5-10x faster with standardized, auditable scoring and automated data refreshes.Reduce total delivered cost by 1-3% through optimized proximity to customers, ports/rail, and key freight corridors while accounting for congestion and tolls.