Manual freight procurement is a reactive, time-intensive process prone to suboptimal rates and carrier rejections. A custom autonomous workflow replaces this with a closed-loop system where agents ingest shipment tenders, live carrier API feeds, and historical lane performance. The orchestrator evaluates cost, service level, and capacity to select the optimal carrier—executing against contracts or initiating spot negotiations. This directly reduces procurement labor by 70% and cuts freight costs 5-15% through dynamic optimization and improved acceptance rates.




