iNAGO has developed a predictive learning system that doesn’t just keep track of what users like or dislike, it combines everything it knows, most importantly, what it learns through conversation to provide a holistic understanding of every user it interacts with. Through conversation, netpeople® is able to learn and predict better than any traditional approach.
These predictions have a wide range, from suggesting a new Italian restaurant near your work, an interesting stop during a road trip, a feature you’ve never used, or just providing the right guidance in the moment. netpeople® is constantly monitoring and listening to everything users say, and learning about what they really want, not just what we think they want to give them a better, tailored, and more personalized experience.
With our state-of-the-art predictive learning system, knowledge is gained through the natural flow of conversation in context. A more modern approach than tracking clicks and likes. This creates a dynamic knowledge base that understands and predicts user’s intents, continuously updates user preferences, and always provides the right recommendation at the right time.
iNAGO uses machine learning and conversational AI to provide a new generation of predictive learning that is deeply understanding and adapting to the user in real time. The recommendations of the system are not one-off, but a constantly evolving dialog used to accelerate learning and adapt to the various situations users experience based on interaction and feedback.
With netpeople®’s predictive learning, conversation and recommendations become one seamless interactive experience.