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ZineOne ML In-Session Predictive Engagement

ZineOne

ZineOne ML In-Session Predictive Engagement

ZineOne

Predicts e-commerce session outcomes via ML, enabling personalized real-time offers in key moments.

ZineOne’s Intelligent Customer Engagement enables retailers, eTailers, and QSRs,  to understand and respond in-the-moment with relevant 1:1 customer engagements.  Recognized in the Gartner Magic Quadrant for Personalization Engines, ZineOne’s Intelligent Customer Engagement platform has positioned the company as a leading AI personalization provider for retailers that is already delivering nearly $1 billion dollars in new revenue for its customers. The patent-pending platform and its continuously learning models provide insights into each and every visitor across digital and physical channels while delivering dynamic contextual customer experiences in key moments to delight customers, foster loyalty, and increase revenue. 

Key capabilities and benefits of the ZineOne Intelligent Customer Engagement (ICE) platform:

  • Patent-pending ML models - Accurate and customized ML models in a fraction of the time so you can provide  hyper-personalized experiences to your visitors while the engagement is still relevant
  • Intelligence in motion - We ingest streaming data and combine it with enterprise and 3rd party data so you can have insightful, relevant, and timely in-the-moment interactions. Even 5 seconds is too late.
  • True omnichannel - We help you meet customers wherever they are and however they want by connecting the digital with the physical world including channels such as the website, mobile, social, ATM, POS, chatbots, kiosks, and on-site. This way, a visitor can start an interaction in one channel and complete it in another.
  • Scalable personalization - Tackle the challenge of scaling your personalization efforts all the way to a segment of one person with our patented personalization platform.
  • Secure and compliant - The ICE platform is secure, compliant, and respects data privacy.


Customer Results

  • Up to 90% intent prediction accuracy by the 5th click or tap
  • 12% net revenue lift with real-time interactions
  • Up to 20% increase in transaction completion rates by capturing transactions that were previously abandoned when visitors moved from channel to channel
  • 3x more click-through rates than with traditional methods with hyper-targeted interactions across channels
Other Features
  • Effortless Implementation
  • Codeless integration
  • SaaS-based deployment
  • Low developer burden
  • A wide range of flexible and pre-built connectors including SDKs for Android, iOS, Windows, HTML5, JavaScript, and Cordova
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