Prioritize metrics that reflect service and cost: order lead time, pick-and-pack accuracy, on-time dispatch rate, average dwell days per SKU, and cost-per-order including inbound receipting. Also evaluate scalability metrics such as peak hourly pick rates and seasonal labor availability to avoid capacity shortfalls.

Customs and cross-border requirements influence choice of bonded storage, documentation handling, and customs-broker relationships. Consider facilities offering bonded/temporary storage, in-house customs clearing support, and experience with export documentation to minimize border dwell time and duties exposure.

Look for a WMS with real-time inventory, EDI/API integrations, barcode/RFID for cycle counts, and configurable workflows for split fulfillment. Operationally, assess racking density, forklift fleet, secure receiving yards, and contingency capacity for peak season surges.

Compare all components: inbound freight to the warehouse, local linehaul to customers, handling and storage fees, inventory carrying cost (days on hand), and any duty or customs fees. Model typical order profiles and run scenario comparisons for service levels, lead times, and buffer stock requirements to find the true cost-to-serve.