At 6:30 a.m. on a Monday morning, a logistics manager opens her dashboard and sees a reassuring message. All shipments are on track. The predictive analytics platform has analyzed weather data, carrier schedules, traffic patterns, historical transit times, and inventory levels. According to the system, the week’s operations should proceed smoothly. Then the phone rings….