This inter-connected world might provide a treasure of new opportunities for service organizations. It assures them to interlink equipment with experts’ mobile devices & the workplace in a real period, allowing a rapid response to service requests & efficient, easy diagnostics. Service is to become highly pro-active & rate-effective.


Field-service lies at the center of the Internet of Things (I.o.T) evolution. Developed field service management (F.S.M) soft-ware can instantly receive messages from devices, & plan and dispatch specialists, without any human involvement. But the opportunities for I.o.T go far inbound device signals through the internet.

The increase in intellectual service tools, like drones & autonomous vehicles, give benefits of machine-to-machine (M.2.M) communication that promises to change the service industry.



The Internet of Things

As the internet turns 25 years old, its impact continues to transform communications, industries, and lives. The original framework of point-to-point connection through a network of different hubs has developed from e-mail and dovetailed with development in electrical & industrial engineering in a changing way. The era of personal computers has grown, through mobility and the smartphone transformation, to a point where connected devices take all type of forms from biological implants to wearable fitness trackers.

Signals sent to & from interconnected devices are spiraling in bulk. Big-data management methods, machine teaching, artificial intelligence (A.I), & cloud storage have come together to deliver insight from this abundance of data. It increases the opportunities for automating decisions & initiating activities without the requirement for human involvement. The benefits to organizations are many.

Secure monitoring applications had saved many in transport & human capital management costs. Include the potential positive impact on consumer involvement & its linked business value, & the call to activities becomes clear. A total I.o.T strategy leads to better and faster decisions throughout the service delivery lifecycle.


Market Definitions:

The Internet of Things is having the significant influence across both business & customer sectors, & several bodies of research focus on these separately. We look at the 2 areas in this way:

Industrial I.o.T (IIoT):

IIoT refers to the application of the Internet of Things to the large manufacturing industry. It’s usually used interchangeably with the word “Industry 4.0,” that applies to the crucial change phases of the financial economy. Examples of I.I.o.T range from monitoring building management systems & power grids to tracking manufactured goods as they exported.


Consumer IoT (C.I.o.T):

The Consumer Internet of Things (C.I.o.T) consists of technologies that point the home market & consumer electronics. IDC reports3 that over 8 million US households already use some home automation & control.

I.o.T & Field-Service:

As the definitions around I.I.o.T and C.I.o.T show, there are ramifications for field service in both areas. The product that served is likely to be consumer products or elements of a producing eco-system in the context of business-to-business field service. The consumer & business areas are also inter-twined as IoT adds an active feedback loop that interlinks product use and the associated service requirements to the production process itself. For example, wear & tear levels in real-world conditions could feed into goods development through a network of sensors & influence the manufacturing process accordingly.


CIoT and IIoT are useful segmentations to assess the market at a more granular level. But there are opportunities for innovation in I.o.T across the field service landscape. Furthermore, areas such as Bring Your Device (BYOD) and ghost IT also create fuzzy lines between customers individually & as part of an enterprise. The opportunity for field service is broad & not constrained to any sub-segment of the marketplace.


Reactive vs. Predictive:

The increasing intelligence of devices and the hardware layer also impact the approach to service associated with the invention. While simple methods can signal a need for assistance in the event of a system failure, the more precious data from intelligent sensors enable a shift from reactive to proactive service. For example, indicators of failure allow long-range service maintenance planning so devices can be kept running continuously and efficiently with an optimized cost profile.


From a resource optimization perspective, this is, of course, preferable to responding, at the high cost, to a sudden failure.

This point brings up a significant differentiator in IoT-based field service. In addition to developing machine learning models to learn more about the service chain, leading field service organizations to excel at optimization in the context of organizational business goals. This optimization is essential regardless of the sophistication of the information the sensors generate in the network. Even in a simple example, with a service requirement to address a non-functioning device, organizations with optimization solutions can automatically schedule that service to ensure the appropriate balance of metrics, such as SLA compliance and field service professional over time. And, with additional sophistication in the IoT sensor data to support more proactive use cases, this schedule optimization is just as crucial to business success.

The decision criteria must be determined and incorporated into a system flexible enough to handle the variety of data inputs and scenarios. Top field service software providers can offer a scheduling solution that combines many data elements into the scheduling algorithm.

The full intelligence provided by the IoT network determines the appropriate service schedule for a device, including inspection, preventive maintenance, and repair. If required, it’s possible to incorporate a review of this IoT-generated telematics by a field service professional for additional human oversight.