Leveraging AI to analyze actionable data for users
Behavioural Modelling
Built-in models capable of predicting future behaviour
Frequency Prediction
Predict the intent of the user during the conversation
Suggestive AI
Enabling data-backed content suggestions for users
Recommendation Systems
Algorithms and data analysis to understand how a specific customer might engage
Features
AI-based personalisation engine for a transformative customer experience
Personalised marketing support
Proactively share content with users including offers such as deals, coupons based on the user buying history and interests
User profiling
Create user profiles with complete details captured over the course of conversation with virtual assistants across channels
Recommendation engine
Provide intent-based recommendations to help you understand user interest, buying history, likes, dislikes and activity across channels
Predictive user engagement
Easily predict user behaviour, make conversational suggestions to the user with the data collected about a user
Re-engage with users
Tap into user affinities to remember conversations and patterns to provide a better personalised experience while re-engaging with users
In-built assistance
Hand hold the user and provide the required assistance over the course of the conversational journey
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