Digital twin solutions are emerging throughout smart factories everywhere. Primarily involving sensor-enabled Industrial Internet of Things (IIoT) systems that facilitate real-time data acquisition, these virtual replicas of factory floors provide real-time information about processes, system health, performance and more. The resulting data and analytics provide actionable insights that help businesses make reliable predictions, optimize processes, and make informed decisions. But why not apply digital twin methodology in other manufacturing stages, such as quality control?