XIUS has unveiled its ‘vData Core’, a patent-pending telco grade platform. This platform, the first of its kind, incorporates Machine Learning (ML) at the core and equips Mobile Virtual Network Operators (MVNOs) to boost revenue and thrive.
With vData Core, XIUS will enable MVNOs to offer personalized data packages and enchant their end users with customized customer experience through Machine Learning and Network Function Virtualization (NFV). Additionally, vData Core’s capacity optimization provides visibility into the entire infrastructure making it possible to meet changing service demands. MVNOs can leverage vData Core’s capabilities to improve their operational efficiency, increase agility to market and deliver services to end users more effectively.
5G expects network slicing for various customers and classes of customer which MVNOs can now achieve through NFV. AI based slicing and crucial configuring of varied products, services and plans for each customer is made extremely simple by vData Core.
One of the key challenges faced by MVNOs is that a greater portion of Average Revenue per User (ARPU) is generated through data services but lack of innovation has led to flattened revenue and increased customer churn.
G V Kumar, CEO and Managing Director of XIUS said, “MVNOs have been fast to capitalize on the modern day consumer’s data needs and understand that consumers often pick an operator based on data packages. It has also been proven that they can grow their business through customer-centricity. vData Core will enable MVNOs to understand their customer and innovate based on consumer needs. It will help them to efficiently manage and monetize data and ultimately enhance customer experience”.
XIUS vData Core helps MVNOs beat competition with on-the-fly and quick launch of data plans, add-ons and combo packages. The Machine Learning (ML) driven auto-generation of personalized product / service offerings to individual subscribers improves customer loyalty and reduces churn. Over a period of time, with extended and vigilant use, it is likely to boost data ARPU by about 15 percent and transform product engagement by about 25 percent.
