Prioritize SLA performance (order-to-shipment times), WMS and API integration, picking accuracy targets, racking and cold-chain capacity if needed, and proven inbound carrier windows. Also evaluate security, returns handling, and scalability for seasonal peaks to align costs with expected order velocity.

Transit times and carrier density in Gisenyi determine drayage, border processing exposure, and last-mile windows—all drivers of landed cost. Shorter, predictable transit reduces buffer inventory and lowers working capital; a broader carrier pool provides rate leverage and contingency routing for SLA assurance.

Require details on racking density, conveyor or sortation options, staffing models for peak periods, WMS feature set (batch picking, slotting, real-time inventory), and API endpoints for marketplace and carrier integrations. Also request KPIs for pick accuracy, order cycle time, and capacity ramp timelines.

Key pricing drivers include storage rent by cubic meter, labor rates, inbound handling charges, picking and packing fees, and outbound carrier rates. Optimize by improving SKU slotting, consolidating shipments, negotiating blended rates for volume, and choosing service tiers aligned to order profiles to avoid overpaying for unused capabilities.