Prioritize direct access to port terminals, proximity to NH16 and rail links, bonded facilities for international flows, and established last-mile carrier partnerships. Also assess the 3PL's cross-dock capabilities, container handling experience, and relationships with regional carriers to minimize handoffs and transit variability.

Lease and labor rates in Visakhapatnam are typically lower than tier-1 metros, which lowers fixed costs. However, evaluate labor skill mix, seasonality, and automation trade-offs—higher automation can reduce headcount variability but increases capex. Model cost-to-serve for peak demand to choose the right service mix.

Essential capabilities include a robust WMS with real-time inventory visibility, API/EDI integrations for order flow, efficient pick-and-pack and kitting operations, returns processing, bonded/cold storage options if needed, and performance reporting. Confirm integration test plans and support SLAs.

Base the decision on demand density, delivery time targets, and freight costs. Centralized warehousing lowers inventory carrying costs but may increase last-mile expense and lead times. Use demand forecasting, transit-time simulations, and a cost-to-serve model to compare single-node versus multi-node scenarios.

Include measurable SLAs for order accuracy, on-time dispatch, inventory reconciliation, and claims resolution. Require proof of insurance, customs and bonded handling certifications where applicable, data security and WMS uptime commitments, and contingency plans for port disruptions or extreme weather events.