A service provider used IoT technology to develop its customer experience and driver-carrier processes.They required a solution that would make drivers' lives easier and improve the customer experience. Within a web framework, the service provider implemented two programming languages that communicated with each other together over a database. To improve the client experience and make life easier for drivers, they were able to integrate the solution with their customer relationship management system.

An automobile manufacturer used IoT technology to develop an advanced licensing system for handling and distributing their proprietary product. They used an integrated structural module that comprised of an internet connection wizard, an automatic update module, an OS lockdown module, and a license activation module that coordinated interaction between end-users. With this technology, they were able to provide end-to-end license management capabilities-from from incoming order processing to delivering valid license keys to end-users.

A financial institution wanted to boost efficiency by determining when employee productivity reached its peak levels. This was done by introducing IoT-enabled tracking sensors, composed of a microphone, a motion sensor, an infrared beam, and a Bluetooth module into employee IDs. The sensors collected real-time data on the tone of employee voices, speaking speed and volume and posture when communicating with colleagues and determined that employees took time to solve workplace issues when taking breaks together.

To avoid the cost of downtime, a mining company needed to identify maintenance issues before a malfunction happened. This was done by integrating IoT technology into all vehicles, by attaching Autonomous Haulage Systems, allowing the staff to manage the fleet remotely. Each truck is equipped with 200 sensors, a GPS receiver, and an RGS (radar guidance system), so the data generated in real-time gives a 360-view of operations and a comprehensive 3D visualization for the purpose of predictive maintenance.

A waste management company needed to optimize technological solutions to efficiently meet with rises in demand, so it employed an IoT solution that uses sensors and softwares to analyze data in real-time and plan the most efficient routes for waste collection fleets. GPS sensors complemented with weather resistant cameras also captured images that transmitted over mobile networks in the cloud calculated real-time container fullness. With this technology, the company was able to cut costs and provide better service.