When IIoT devices share data in real-time, they contribute to an intelligence network that continually gathers, analyzes, and learns from data. This allows businesses to respond to opportunity – and risk – with speed and decisiveness. And those same devices not only send data but can also receive instructions based on data analysis to adapt and optimize their automated workflows.

Devices and machines in an IoT network are continually transmitting operational logs and performance data. AI and machine learning algorithms use this sensor data to gain valuable predictive maintenance insights. In fact, according to McKinsey, “Predictive maintenance typically reduces machine downtime by 30% to 50% and increases machine life by 20% to 40%.”

Unfortunately, “if it ain’t broke” is often the stance that businesses take when prioritizing their operational needs. This attitude can lead to inefficient legacy processes hanging on past their prime. When an operational network incorporates IoT devices, the data they gather and transmit is entirely objective. The application of advanced analytics to such data leads to ongoing recommendations and strategies for updating processes, streamlining tasks, and achieving increased efficiency.

At the start of 2020, U.S. businesses had already spent a few years weathering political and trade uncertainties. For many, the pandemic only served to drive home just how vulnerable and reactive their inventory management systems had become. When connected to an IoT network, devices, such as additive (3D) printers can reduce dependency upon external manufacturing partners and allow businesses to retain virtual inventories and manufacture the products they need – on demand. 

In any industrial setting, there is always the danger of injury or strain. Today, many businesses are reducing this risk with the use of IoT workplace safety devices. These may deliver warnings via wearable units such as VR headsets or monitor ongoing workplace patterns to restructure factory and warehouse floors to be safer and more ergonomic.

IIoT networks connect more than just the devices and machines within a business – they also integrate the customer’s experience and input.  This integration results in more seamless shopping experiences, more transparent and personalized logistics, and greater ability to incorporate customer feedback and preferences into the manufacturing and development of new products.  Real-time and meaningful engagement with customers leads to a more competitive and resilient business model.