Require measurable KPIs including order accuracy (%), on-time dispatch rate, average pick-to-ship cycle time, inventory accuracy (cycle count variance), dock-to-stock time, return processing time, and chargeback rates. Also set SLA thresholds and agreed remediation steps for each metric to align incentives and reporting cadence.

Closer proximity to motorways and rail terminals reduces line-haul and last-mile mileage, lowering carrier rates and transit variability. It enables more carrier options for consolidation and express lanes, shortens lead times for B2B deliveries, and can materially reduce fuel and accessorial charges—especially for high-frequency, small-parcel eCommerce shipments.

Essential capabilities include a WMS with API connectivity, real-time inventory sync, order orchestration across channels, returns management, and multi-carrier rate-shopping. Prefer providers offering EDI/REST integrations, reporting dashboards, and configurable workflows for marketplace SKUs to minimize manual intervention and reduce order cycle time.

Build a cost-to-serve model that includes: 1) fixed costs (storage per pallet/m2), 2) variable pick/pack/packaging labor rates, 3) receiving and returns handling fees, 4) IT and integration charges, and 5) anticipated transport costs. Compare on identical SKU profiles and volumes, run scenario analyses for seasonal peaks, and include SLA penalties and capacity surge pricing to get apples-to-apples comparisons.