Focus on location relative to major highways and ports, available pallet positions and racking, cross-dock capability, SLA performance for pick-and-pack, and carrier networks for regional and export lanes. Also evaluate IT integration (WMS/API), handling of returns, and scalability to support peak seasons and SKU proliferation.

Build a comparative model including landed cost to customer zones, inventory carrying cost per pallet, order cycle times, and carrier rates by lane. Track metrics like order-to-ship time, fill rate, and return processing cost. Include one-time transition costs and expected reductions in transit days and freight spend for a clear ROI projection.

Require a WMS with API connectivity, real-time inventory visibility, EDI or API for order orchestration, bonded or customs-friendly handling if exporting, and value-added services such as kitting and light assembly. Confirm SLA language for throughput, accuracy, and dispute resolution to align with omnichannel expectations.