Enhance digital adoption with proactive Human + AI customer service across all channels at a 60% lower cost to serve.
AI leveraged models to understand customer behavior in-depth and provide the appropriate products at the right interaction points.
Move from rigid transactions to customer engagement, increase conversions, cross-sell & upsell with persona-based recommendations and intelligent context-specific customer engagement across all digital channels.
End-to-end lead management – inbound & outbound, targeted campaigns for both NTB and ETB customers across all digital channels for enhanced engagement and higher digital revenues.
AI-powered Customer Value Management (CVM) platform for Campaigns, personalize marketing interactions & drive digital engagement- in order to market, upsell and improve customer’s perception around a product or service.
Foster customer loyalty & prevent attrition with dynamic and relevant hperpersonalised recommendations and offers in the moment
Identify behavior patterns from structured & unstructured customer data and create dynamic persona to hyper personalize digital customer journeys.
AI-recommendation engine uses predictive analytics and Big data to create personalized “moments” to boost revenue with micro-targeted cross and upsell.
Frictionless agent handoff within the customer’s preferred channel.
Leverage pre-built omni-channel multilingual NLP chat & voice bots, flexible and secure customer journeys with a human in the loop.
Predictive analytics to power contextual journeys and real time insight based actions for increasing conversion, retention and cross sell.
Campaign management module is backed with an AI-powered recommendation engine that has pre-trained insurance domain-specific models for personalizing marketing campaigns across Inbound and outbound interactions.
AI Recommendation Engine helps insurers to engage with the customer with right product recommendation, at the right channel, at the right time. The AI based recommendation engine uses predictive analytics and Big data to create personalised “moments” across customer interactions across channels.
With cross-sell propensity model, insurers get an accurate picture of the customer preference. Personalised recommendations increases upsell and cross-sell across insurance companies and partner products.
Efficient claim processing with minimum manual intervention and instant coverage assistance with partner ecosystem integration.
Insight based action using predictive models helps predict the churn risk/risk of dormancy at the individual customer level and take proactive action to prevent churn by offering hyper-personalized services.
Offer personalized insurance products based on Machine Learning and Artificial Intelligence models that have been trained on individual consumer preferences.
Personalised and context based loyalty offers/ rewards coupled with hyper-targeted campaigns.