TuplOS AI engine will enable predictive demand and revenue generation for sharing services in this growing sector of the sharing economy
BELLEVUE, Washington – July 13, 2018 – Tupl, a market leader in automation for the wireless industry, today announced a new PoC (Proof of Concept) with SoftBank to provide an IoT solution for SoftBank’s sharing services such as a shared parking service and a shared bicycle service. Through this PoC, Tupl will provide its AI engine “TuplOS”, which leverages AI technology, to build a model and application that is integrated with SoftBank’s data. The turn-key platform will be able to predict demand as well as revenue generation for sharing services all within an accessible user interface.
Petri Hautakangas, Tupl CEO, said: “We will provide SoftBank with the technology and tools to grow a potentially significant market segment within the sharing economy. We’re looking forward to working with SoftBank, and further showcasing how our TuplOS platform and our use cases are expanding outside of the telecommunications market and into other key branches of the wireless industry, such as IoT.”
In recent years, the sharing economy has been expanding into a wide variety of market segments. As part of the initiative for the growing market, SoftBank is going to work with business partners such as enterprises and individuals through its sharing services by leveraging SoftBank’s own IoT platform which manages IoT sensors. Tupl’s AI engine will be combined with the Softbank IoT platform to create new value to the services by predicting demand and revenue generation.
Tupl offers AI and machine learning-based solutions that dramatically reduce operational costs and enable easy scalability. The TuplOS AI Engine builds effective models and solutions using partner data, which can be leveraged to create automation-powered products and applications for internal or commercial use.
Founded in 2014 by telecom, big data and AI veterans, Tupl is transforming customer access and experience in the telecom industry thorough improving operations with leading wireless operators across the US, Canada, Japan, Mexico, and Europe. Its AI Engine, TuplOS, utilizes machine learning and several other utilities to enable faster innovation cycles for network and customer care operations. Tupl is headquartered in the US in Bellevue, Washington with presence in Spain, Mexico and Japan, and is continuing its rapid global expansion in 2018. To learn more about Tupl and request a demo, visit www.tupl.com.
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