Prioritize transparent WMS integration, SLA-backed order accuracy, dock and racking capacity, peak throughput capability, and value-added services (kitting, returns). Model transit-time maps, carrier density, and cost-to-serve per SKU to align 3PL selection with service promises and margin targets.

Kaduna provides faster northbound distribution and competitive central access to Abuja-area demand compared with coastal-only nodes. Use carrier density and transit-time data to determine routing advantages, including intermodal routing for reducing mileage and improving delivery consistency across key northern corridors.

Require dock levellers, segregated B2B staging areas, pallet racking with clear load ratings, fire suppression, CCTV and gated perimeter security. Confirm bonded or customs-capable storage if needed, and verify WMS functionality for ASN, batch and lot tracking to support transactional B2B workflows.

Build a cost-to-serve model that includes inbound frequency, carrying cost by node, last-mile delivery cost, and return rates. Evaluate zone-skipping, cross-docking, and safety-stock reductions by demand cluster to determine optimal inventory split between Kaduna and other network nodes.