Prioritize transit-time analysis to customer clusters, carrier lane density, warehouse layout for efficient pick-and-pack, technology compatibility (WMS/API), SLA guarantees for order accuracy and lead time, capacity flexibility for peaks, and capability for value-added services such as kitting and returns processing. Also validate local labor skills and security measures.

Model landed cost by combining local warehousing fees, average regional trucking rates, fuel surcharges, and cross-dock/handling fees. Use historical transit-time data from carriers, add buffer for regional feeder variability, and factor parcel network transit promises for last-mile delivery. Run zone-based costing to compare fulfillment from alternative sites.

Expect standard racking and mezzanine capacity, secure receiving and staging, barcode-driven pick-and-pack, returns and reverse-logistics processing, light assembly/kitting, labeling and rework, temperature-controlled options where needed, and integration-ready WMS with electronic data interchange capabilities.

Clear SLAs define performance targets and penalties, reducing operational ambiguity. Robust IT integration (WMS/API/EDI) enables real-time inventory visibility and automation, lowering labor costs and error rates. Granular reporting on order cycle times, fill rates, and cost-per-order supports continuous improvement and accurate allocation of operating expenses as volumes scale.