Industrial Machinery businesses heavily depend on manual operation and supervision leading to inefficiencies and have been operating without any significant productivity improvement over decades unlike several other industries. The cost and schedule are typically marred with interdependencies among various resources, such as material and equipment availability, utilization, downtime, scheduled maintenance, fuel misuse and spillage added with mis-handling of the systems, especially for the sites and operations spread across hundreds of Kilometers
With the advanced electronics, sensor and IoT technologies, now it is possible to monitor various parameters, apply data science, analytics, AI and machine learning to provide intelligent insights and decision support, which would improve the overall productivity of these industrial equipment operating in remote places spread across large geographies
