Driving Predictive Resolution in Proactive Customer Service through AI, IoT, and Time Series Intelligence in Service Now

The research focuses on evaluating the advances in artificial intelligence, the internet of things, and time series intelligence to improve the proactive services in the service-now platforms. This research focuses on assessing the effectiveness of artificial intelligence in enhancing the predictive models, identifying the role of IoT in collecting real-time data and the way the time series intelligence plays in effective predictive maintenance. The research also provides appropriate measures that can be taken in order to enhance the use of these technologies in providing effective support to its clients. Hence, the research adopts interpretivism philosophy and the deductive research approach to investigate practical applications and issues within organizational settings from secondary data analysis. It brings out the possibilities of these technologies in the minimization of time as well as the enhancement of service delivery to meet customer expectations.