AI Fulfillment Center Analytics
The Problem
“Fulfillment center performance is opaque and reactive”
Organizations face these key challenges:
Operational and real estate data are siloed (WMS/TMS, labor systems, carrier portals, lease/building specs), making it hard to link building/location attributes to performance and cost.
Underwriting and site selection depend on static assumptions, leading to overpaying for sites, mis-sizing buildings, or missing hidden constraints (dock flow, yard capacity, power, local congestion).
Performance issues are identified too late; teams react after SLAs slip, detention accrues, or overtime spikes, increasing costs and straining tenant/3PL relationships.