Evaluate on transit-time matrices to key customer zones, carrier network density, and landed cost modeling. Compare WMS integration, slotting and picking rates, order batching efficiencies, and value-added services (kitting, returns). Prioritize partners with transparent KPIs (OTD, inventory accuracy) and clear cost-per-order breakdowns.

Assess proximity to arterial roads and nearest freight terminals, dock-door counts, cross-dock capability, lift equipment, and staging areas for palletized shipments. Verify carrier pickup frequency, LTL and FTL connectivity, and capabilities for scheduled deliveries and ASN/EDI integrations to support B2B SLAs.

Require real-time inventory visibility via WMS with API/TMS connectivity, standardized EDI or RESTful integrations, configurable reporting dashboards, and automated alerts for stockouts and exceptions. Look for support for order routing, allocation rules, and returns processing to optimize omnichannel fulfillment.

Model total landed cost per order including inventory carrying, inbound transport, pick-pack-ship, last-mile delivery, and returns. Include service-level penalties, safety stock requirements, and seasonal demand variance. Scenario-run multiple node configurations to compare transit time savings vs incremental storage and handling costs.

Negotiate clear KPIs: inventory accuracy, order cycle time, on-time delivery rate, pick-and-pack accuracy, and damage rates. Define SLA remedies, reporting cadence, audit access, minimum and maximum throughput, capacity escalation clauses, and change-order pricing to align incentives and manage growth.