Prioritize measurable operational factors: throughput (lines per hour), pick accuracy, dock-to-stock times, slotting flexibility, and SLA penalties. Also evaluate carrier connectivity, IT integration (WMS/API), scalability for peak seasons, and value-added capabilities like kitting and returns processing.

Run a cost-to-serve model that includes warehousing rent and handling, inbound/outbound freight, inventory carrying, and returns. Overlay transit-time estimates to end markets to quantify service trade-offs; shorter transit can reduce safety stock and lower total landed cost even if unit warehousing is higher.

Look for integrated WMS with API connectivity, multiple dock doors and staging lanes, parcel carrier integrations for small-parcel rates, palletized carrier contracts for B2B lanes, and facilities capable of multi-temperature storage. These elements suggest readiness for mixed-order profiles and rapid channel switching.

Key risks include system integration gaps, insufficient SLA definitions, single-source carrier dependency, inadequate inventory visibility, and poor contingency planning for peak events. Mitigate by requiring performance KPIs, real-time reporting, disaster recovery plans, and clear ownership of reverse logistics processes.