With applications in home automation, healthcare, automobiles, and other industries, the Internet of Things has become ubiquitous. However, with conventional methods, manufacturers have to cope with a lot of obstacles while developing smooth communications for enhancing the capacity as well as the flexibility of analyzers, actuators, and robotics. To overcome these challenges, IoT-enabled industrial automation offers the integration of multiple commercial technologies across significant industrial apps, such as Programming Logic Controllers (PLCs). Additionally, managing the massive amount of data is also one of the biggest concerns of digitization. Analysis and distribution of garnered data are essential for OEMs to derive predictive models. These models help end-users to minimizecostly unplanned downtime. Besides using the cloud, manufacturers need to create an interface to read the data as well as present relevant information to the end-user.