Picture this: A large logistics company was under serious pressure to improve on-time delivery forecasting during peak season. The North American operations team started feeding shipment data, carrier metrics, delay reports, and exception notes into various AI tools (some enterprise-licensed, others personal accounts) to generate faster predictions and better handling guidance. Early results were impressive. At-risk shipments were identified 30–40% quicker. Word spread fast.