Prioritize transit times to core customer zones, proximity to highways/rail, carrier access, facility capacity and layout, WMS/API interoperability, SLA performance history, returns handling, and workforce reliability. Run a cost-to-serve model and request sample throughput metrics and references for peak periods.

Location determines zone depth and delivery time: warehouses closer to dense population centers reduce zone counts and carrier surcharges. Proximity to carrier hubs and cross-dock nodes enables faster transit and lower per-package rates. Also assess local delivery restrictions, dock capacity, and typical route dwell times.

Key capabilities include a modern WMS with real-time APIs/EDI, barcode/RFID tracking, kitting and bundling, automated picking options, structured reverse-logistics, and reporting for inventory reconciliation. Verify integration testing, SLA-based uptime, and documented scale-up plans for peak seasons.

Break down bids into storage, pick/pack, inbound receiving, returns, special-handling, and transport pass-throughs. Compare variable vs fixed charges, minimums, billing units (per pallet, per cubic meter, per pick), and SLA credits or penalties. Use representative order profiles to model true monthly and seasonal costs.