Assess throughput capacity, peak handling, and order cycle times alongside technology (WMS/APIs), SLA terms, pick/pack accuracy, and contingency plans. Review carrier integrations, onboarding timelines, reporting cadence, and cost‑to‑serve models to ensure the partner scales with demand without compromising delivery SLAs.

Expect shorter regional transit lanes to nearby population centers due to proximity to primary highways and distribution hubs. Local carrier density and intermodal options typically increase routing choices, enabling lower freight costs and improved delivery windows for both last‑mile and trunking operations.

Model the balance between lower rent and potential labor differentials versus increased regional distribution volume. Factor in inventory carrying costs for decentralized locations, lane‑based freight rates, handling fees, and any value‑add services. Use cost‑to‑serve modeling to compare total landed logistics cost across scenarios.

Verify WMS/WCS functionality, EDI/API integration, pick accuracy, security and insurance, temperature control where required, and certifications (e.g., HACCP, ISO). Confirm contingency plans for capacity spikes, labor shortages, and disaster recovery to protect service continuity and compliance.