Prioritize measurable SLAs (order accuracy, pick/pack times), integration capability (WMS/APIs), scalable capacity, and visibility tools. Confirm dock access, yard size, and carrier frequency for your lanes. Model cost-to-serve by SKU and channel to understand landed costs under peak scenarios.

Carrier density and scheduled linehaul services reduce transit variability and enable consolidation. Shorter regional drives lower fuel and accessorial charges, improving last-mile reliability. Verify regular carrier schedules and intermodal options to optimize lead times and rates.

Confirm pallet racking, temperature control (if needed), secure receiving areas, IT interfaces, and labor flexibility. Check for value-added services like kitting, returns processing, and cross-dock capacity to support omnichannel workflows.

Build a cost-to-serve model that includes storage, handling, pick/pack labor, inbound/outbound freight, and accessorials. Compare to current in-house costs, factor in inventory carrying reductions from improved transit, and model scenarios for seasonal peaks to estimate ROI.

Ensure clear SLA definitions, audit rights, insurance coverage, liability limits, and inventory reconciliation cadence. Include KPI reporting frequency, dispute resolution, termination terms, and contingencies for capacity or labor disruptions to protect continuity.