Focus on transit time to target markets, SLA adherence (pick/pack/ship windows), WMS capabilities (real-time inventory, EDI/API), returns processing, and value-added services (kitting, labeling). Also assess labor flexibility, peak capacity plans and carrier network density to ensure consistent service during seasonality.

Location in Pretoria reduces road miles to inland customers and links directly to primary freight corridors, lowering line-haul costs and transit days. Proximity to rail terminals and air cargo gateways increases modal choices and carrier frequency, improving lead times and resilience for B2B flows.

Require modern racking and high-bay storage, temperature-controlled zones, integrated WMS with carrier interfaces, cross-docking capability, returns handling and light assembly/kitting. Verify barcode scanning, cycle-count procedures and SLA-backed accuracy metrics to support omnichannel order profiles.

Model total cost-to-serve: storage, pick/pack per unit, inbound/outbound drayage, and value-add charges. Add scenario-based volume spikes to quantify overtime, temporary labor and overflow warehouse needs. Compare service credits, buffer lead times and onboarding speed to ensure peak service levels without excessive fixed costs.