Prioritize highway access to major corridors, carrier frequency, WMS/EDI integration, SLA guarantees for pick/pack/ship, labor skill and shift flexibility, and unit economics (per‑pick, storage, inbound handling). Also validate security, temperature control if needed, and scalability for seasonal peaks.

Transit times affect inventory carrying cost and last‑mile spend: shorter transit to key markets reduces safety stock and expedites replenishment. Strong carrier access in Bayburt enables consolidation, scheduled departures, and lower freight per unit, improving landed cost while preserving delivery windows.

Expect pick‑and‑pack, batch/zone picking, kitting, label customization, returns processing, light assembly, and temperature‑controlled storage where required. Reliable WMS, inventory visibility, and integration with sales channels are critical for omnichannel workflows and SLA accountability.

Model total landed cost: compare lower facility and labor costs in Bayburt against potentially higher last‑mile or transit expenses. Factor inventory carrying costs, frequency of shipments, service levels required, and network design (centralized vs distributed) to identify the optimal balance.

Key KPIs: on‑time in‑full (OTIF), order cycle time, pick accuracy, dock‑to‑stock time, inventory accuracy, average picks per hour, and turnaround time for returns. Include penalty and remediation clauses for missed SLAs and agreed capacity commitments for peak periods.