Downtime is a major threat to any manufacturing business. One of the most dreaded scenarios is that if one segment in manufacturing line backs up, it can have a snowball effect on the other segments waiting for the completion of prior tasks in order to produce a finished product. This research aims to reduce the amount of time for which the machine or the workers are in idle state. This is achieved by upgrading the manufacturing plant with an optimal method which tracks the manufacturing plant downtime in real time and the status of the plant is updated using Internet of Things technology. This research work is validated for Anti-lock Braking System (ABS) plant and the downtime reduction of the ABS plant is verified in real time through the cloud platform. © BEIESP.