Prioritize transit times to core markets, road connectivity to major arteries, usable cube and throughput, labor availability and shifts, and available value‑added services (kitting, returns, cross‑dock). Require WMS/API integration, transparent SLA metrics (pick accuracy, OTIF), and a cost‑to‑serve model that captures storage, handling, and inbound/outbound freight.

Measure baseline metrics (order cycle time, average transit time, shipping spend per order, inventory days, pick/pack cost, and return processing cost). Run a pilot or TCO comparison that models freight lane changes, inventory placement, labor rates, and service level impacts to estimate net savings and SLA improvements.

Require racked and bulk storage flexibility, cross‑dock capability, temperature‑controlled options if needed, secure access control, and hazardous or bonded handling if applicable. On tech, demand WMS with barcode scanning, API/EDI connectivity, real‑time inventory visibility, reporting dashboards, and documented SLA/KPI reporting to support compliance and growth.