Evaluate proximity to major highways and customer clusters, dock capacity and yard space, available warehouse types (ambient/cold), IT and WMS integration, and staffing flexibility. Compare carrier access and average pickup/delivery windows to ensure alignment with your SLA and inventory velocity.

Build a cost-to-serve model that includes warehousing rates, handling fees, drayage, cross-dock charges, outbound shipping rates, and returns processing. Factor in lead-time reductions and lower last‑mile kilometers; use scenario analysis to test SKU consolidation, batching, and zone skipping to lower per-order costs.

Prioritize facilities with flexible pick/pack zones, dedicated B2B staging areas, reverse-logistics capability, EDI/WMS integrations, and temperature-controlled space if required. Service SLAs, scalability for peak volumes, and transparent billing are critical for omnichannel reliability.

Confirm 3PL relationships with regional carriers, average tender acceptance times, hub access for intermodal transfers, and capacity for scheduled line‑haul. Evaluate last‑mile partners for residential deliveries and inspect the 3PL’s contingency plans for seasonal carrier constraints.

Request WMS demonstrations, API or EDI documentation for order and inventory flows, and sample reports for inventory aging, order cycle times and exception handling. Verify real‑time inventory visibility, audit trails, and SLA dashboards to ensure operational transparency and data-driven decision making.