AI Reveals Hidden Operational Capacity Constraints

Sheryl E. Kimes, professor emerita at Cornell, argues that businesses often confuse theoretical capacity with effective capacity, noting pandemic-era staffing and policy disruptions highlighted how operational constraints such as kitchen throughput, housekeeping, or driver supply determine service delivery. She says advances in data systems, AI and computer vision can connect fragmented signals—searches, bookings, walkaways and service times—to estimate effective capacity in real time, enabling revenue management to observe and potentially manage the constraint itself.