Prioritize WMS/TMS integration, order accuracy, pick-and-pack throughput, on-time shipment rate, inventory visibility, and cycle-time reporting. Verify support for temperature control if needed, API connectivity for storefronts and carriers, and real-time exception workflows to maintain SLA compliance.

Location affects carrier density, last-mile partner availability, and proximity to border or clearance points. Closer proximity to main corridors reduces fuel and transit costs, lowers lead times, and increases carrier choices—improving delivery reliability and total landed cost for both B2B and eCommerce flows.

Negotiate flexible volume tiers, defined SLA metrics (OTD, order accuracy, lead times), transparent chargebacks, peak capacity terms, inventory ownership clauses, and reporting cadence. Include clear escalation paths, onboarding timelines, and review checkpoints for seasonal forecasting adjustments.

Model trade-offs between fewer central DCs (lower inventory carrying cost) and distributed nodes (faster delivery, lower last-mile costs). Analyze demand density, SKU velocity, safety stock needs, transportation cost per order, and service-level targets to determine optimal inventory splits and replenishment frequency.