June 01, 2015
Rapid expansion in Retail Applications using VA technology
Openstream deploys EVA pilot for Retail
Somerset, NJ Jun 01, 2015
Openstream 's begins engagement with one of the largest Retailers in the world for a Virtual Assistant based offering ( aka Retail "EVAtar").
The Retail EVAtar will allow Retail workers to check inventory status, pick items, review sales data, among other functions. Solution is available on a variety of devices. The pilot is expected to go on till the end of the year in live production environments.
" This is ground breaking for the Retail world. We believe we are the first Virtual Assistant solution for Retail.",” said Balaji Narayana, Director of Operations. “"Based on the pilot results, we expect to take this to Production in early 2016. This is a great validation point for us."”
While there are a billion-plus apps for consumer consumption, research has shown that most are very sparingly used, due to restricted usage to the functionalities of the phone/tablet. Offering new interaction capabilities beyond the simple use of apps on devices, Openstream's EVA is a transformative solution, to take Enterprises beyond the "app" model, into an Intelligent Assistant Architecture.
With over two million users, Openstream innovates intuitive open standards-based technologies that change the way users interact with mobile devices and applications. Openstream enables enterprises & ISVs to rapidly develop, deploy and manage end-to-end secure, highly scalable mobile solutions. Openstream engages the complete mobile ecosystem, from enterprises, wireless carriers, device manufacturers and mobile value added service companies.
Openstream is a leading provider of Proactive, Context-aware Multimodal Mobile Virtual Assistant Platform (EVA) for Enterprises & Content Providers. EVA offers new interaction apabilities beyond the simple use of apps on devices, helping Enterprises transition beyond the "app" model into an Intelligent Assistant Architeture & EVA improves the user-engagement and experience by adapting to the users' preferences & priorities in delivering an "in-the-moment" personalized mobile experience - reducing the effects of information overload and data chaos.
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