Prioritize integrated WMS capability, scalable racking and climate control, cross-dock operations, and validated carrier integrations. Evaluate local labor skill levels, utility redundancy, security, and documented SLAs for pick/pack accuracy and lead-time commitments to ensure consistent omnichannel performance.

Model landed cost by combining per-unit warehousing fees, pick/pack charges, average order size, expected returns rate, and transport rates. Map transit times from candidate facilities to primary customer ZIPs, then run scenario-based forecasts to compare total cost-to-serve and service-level trade-offs.

Require a WMS with API integrations, barcode scanning, lot and serial tracking, real-time reporting, and support for batch or wave picking. Confirm onboarding timelines, staff training programs, QC processes, and reverse logistics capabilities to maintain accuracy as volume scales.

Primary factors include distance to major highways and intermodal terminals, frequency of scheduled carrier pickups, consolidation opportunities, and proximity to customs or inspection points. These determine routing options, mode mix, and potential for freight consolidation that lower lead times and costs.