Officially One-of-a-Kind Technology
Sweepr is granted patent for Revolutionary Digital Support System for Connected Products
In today’s world, where we rely more and more on connected devices and services for work, entertainment, and communication, it’s become increasingly important to have a reliable support system in place. That’s why we’re excited to announce the granting of a patent for our revolutionary automated support system.
Our system is designed to address the issues that come with having a diverse range of devices and services in a single building, with varying levels of connectivity and diagnostic capabilities. Our in home SDK each has a local communications wireless interface for communicating with devices in the local network and remotely with cloud-based servers.
The servers in our system include an interface for communicating with local networks, as well as a recommendation engine that is programmed to dynamically communicate with the SDK to capture support requests concerning devices and services. The recommendation engine can perform work flow processing to generate a resolution for such support requests and communicate the resolution to the local network agent.
Our recommendation engine also automatically generates a context for each support request, which includes historical resolution data for that local network, device, or service. This means that our system can learn from previous support requests and provide better solutions for future issues.In this regard the system can automatically prioritise solutions based on a machine learned prediction model that uses features of previous Interactions (their context) to select the most likely successful solution.
One of the key features of our system is its ability to perform local network synchronization with very low bandwidth overhead by the agents asynchronously generating and transmitting a signature to the interface to indicate the status of all the devices in their respective networks. This ensures that the local network context is maintained in real time without consuming excessive bandwidth.
Our local network agents are also able to maintain connectivity for all devices in their network, even for those which are not configured to directly communicate with the internet by being at local network edges. This ensures that all devices are covered by our system, regardless of their connectivity status.
The recommendation engine in our system comprises a series of components arranged to operate in sequence to process a support request. These components include a selection component, an issue detection component, a resolution selection component, and a resolution execution component. Each of these components has a natural language processing engine and a core entity model to identify relevant devices, services, or issues by using synonyms for known devices and services and issues stored on the system.
We’re proud to introduce this revolutionary automated support system for connected devices, which we believe will significantly improve the experience of users who rely on these devices for their daily work and personal lives. We’re excited to see how this system will evolve and improve in the coming years.
Alan Coleman, Sweepr Co-Founder & CEO