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.
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.
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.
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.