Evaluate facility layout and material handling equipment, WMS integration and API support, labor skill and seasonal availability, SLA terms (pick/pack/ship windows), inventory accuracy history, returns processing, and carrier connectivity. Request KPI histories and cost‑to‑serve scenarios to validate service and pricing under peak loads.

Proximity reduces over‑the‑road miles, drayage and last‑mile time, lowering cost‑to‑serve for regional destinations. Assess road quality, average carrier speeds, consolidation points and access to export corridors. Model freight rates with inventory holding costs to understand net landed cost impact.

Prioritize a robust WMS with real‑time inventory, batch and wave picking, serialization or lot tracking, bonded storage if needed, returns processing, and integration options (EDI/API). Confirm reporting cadence, SLA enforcement, and capabilities for value‑added services like kitting and labeling.

Run a cost‑to‑serve and network optimization analysis that includes transport rates by lane, inventory carrying costs, order profile and SKU velocity, service windows, and peak season scenarios. Include sensitivity for carrier rates, emergency replenishment, and labor variability to compare total landed cost and service outcomes.