NSURE Assist Chatbot is a streamliner for interactions between customer and company. It enables organizations to help their customers throughout the process of enquires, new offerings, transactions, customer support and services
It leverages cutting-edge technologies to achieve natural communication for speech recognition, intuitive reasoning, and multilingual capabilities.
A digital assistant that can be integrated with popular enterprise applications to enrich customer experience
Use NSURE Assist NLP Engine or bring your own NLP engine like LUIS, Lex, dialog flow
Personalized chat response based on customer needs & recommends proactively during cross sell & up sell
Customer emotion & sentiments based auto-transfer to live agent for seamless customer experience
Get real-time reports, monitor and respond better than before
Augment training data for better results and saves time
Supervised and unsupervised learning for continuous learning
Rich UI/UX with multiple language without loosing context
Our chatbot as a services enables you to
ML and NLP powered suggestions to upsell and cross sell to your existing as well as new customers.
Providing automated customer support through multiple channels with a quicker turn-around-time and in their native language.
Get real-time reports, monitor and respond better than ever.
increase in online sales by offering personalized recommendation
increase in customer engagement
increase in customer satisfaction ratings by making it easier for customer to understand confusing banking terms
decrease in call volume
increase in online insurance policy sales by offering personalized recommendation
of query management processes can be automated using Conversational AI
increase in customer satisfaction ratings
decrease in claims handling time
reduction in customer service cost is achieved by deploying IDAs (Intelligent Digital Assistant) and through through automation of support functions.
of routine questions can be answered by IDA, freeing up agents for more productive works
Decrease in call volume by implementing IDAs across multiple touch points