Kx Technology Selected to Power E-commerce AI Platform for Scientific Revenue

LONDON, October 19, 2017 /PRNewswire/ --

-   Kx selected as Scientific Revenue' s real-time analytics platform for online dynamic pricing

-   Using Machine Learning and Applied Artificial Intelligence, Scientific Revenue's platform analyses the behaviour of millions of users and applies machine learning techniques to increase revenue for its mobile gaming customers  

-  Kx will assist Scientific Revenue's growth as it scales from mobile gaming into additional vertical markets including loyalty programmes and broadcast content

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Global technology specialist FD today announces that Scientific Revenue, a provider of revenue optimisation services based in San Francisco, has selected Kx as the analytics platform to power its machine learning-based dynamic pricing application. Kx technology will support Scientific Revenue as it moves beyond its core mobile gaming market into other vertical markets and adds functionality to its patent pending technology.

Scientific Revenue is the leader in dynamic pricing in the $100 billion mobile gaming market, with customers including many of the top gaming companies in the world. Scientific Revenue's dynamic pricing engine delivers greater revenue and more insights for its customers. It is currently tracking the behaviour of millions of app users per day, using machine learning algorithms to set the optimal pricing for each transaction. Customers typically achieve a revenue uplift of 20-40% through the use of Scientific Revenue's optimisation services.

In addition to the mobile gaming market, Scientific Revenue has entered other markets including desktop gaming, subscription-based broadcast content, OTT video, and loyalty programmes.  

William Grosso, Chief Executive Officer of Scientific Revenue, commented: "To do dynamic pricing right requires a platform that can handle billions of pricing events per day. Kx technology's real time, ultra-high performance capabilities make it ideal to power our dynamic pricing and revenue optimisation platform. Kx has a long history of handling large data sets at high speed and low cost, which will support our growth ambitions as we address a multi-hundred billion dollar market opportunity with our unique technology."

Brian Conlon, Chief Executive Officer of Kx commented: "Scientific Revenue's ability to use machine learning to deliver precision targeted pricing generates significant value for its customers and we are pleased to support its growth plans. This is another demonstration of Kx's market leading analytics capability in an exciting growth market."

About Kx 
Kx is a division of FD, a global technology provider with 20 years of experience working with some of the world's largest finance, technology, retail, pharma, manufacturing and energy institutions. Kx technology, incorporating the kdb+ time-series database, is a leader in high-performance, in-memory computing, streaming analytics and operational intelligence. Kx delivers the best possible performance and flexibility for high-volume, data-intensive analytics and applications across multiple industries. The Group operates from 14 offices across Europe, North America and Asia Pacific, including its headquarters in Newry, and employs more than 1,800 people worldwide.

About Scientific Revenue 
Founded by a team of data scientists with deep expertise in gaming and economic theory, Scientific Revenue delivers a dynamic pricing engine for game publishers that lets them focus on making great games, knowing they have a pricing solution tuned for maximum profit. Games using our technology have been downloaded more than one hundred million times.

Our patent-pending technology uses machine learning, predictive analytics, and temporal pattern matching in order to deliver targeted, per-user pricing that increases conversion and overall in-app purchase revenue. The result: pricing without compromise.

For more information about Scientific Revenue please visit http://www.scientificrevenue.com.

For more information about Kx please visit http://www.kx.com.

SOURCE Kx