tVERA
Conversational Framework for Travel Industry
tVera enables Airlines to use AI-driven virtual agents and chatbots to provide superior customer experience & also helps to increase revenue by up-selling & ancillary sales.
Coforge has developed tVERA; an airline industry focused framework for creating and deploying intelligent conversation assistants. It is built using an extensive language model where the backend hooks are built for inducting conversational interfaces for popular use cases like Flight Search, Flight Booking, Flight Status, Check-in, Loyalty Points and many more. tVERA supports multiple NLP frameworks and platforms like Amazon Lex & Alexa, Google Dialogflow and Microsoft LUIS.
Solution Need
Chatbots are becoming a mainstream channel for organizations to engage with customers. The chatbots created specifically to target the end customers or engage with the organization's employees or partners. The airline industry is dipping their toes in this area and is actively looking to build chatbots that could help them gain new customers or retain their existing user base.
Features
Multi-Channel Support (Alexa / Google Assistant / Skype / Messenger)
Provides both voice and text-based interface
Pre-Built Language Models for over seven business scenarios
Automated testing (using custom-developed frameworks)
Strong expertise in the Travel domain
Benefits
Airlines can quickly launch conversational interfaces
Improved customer experience
Reduced cost of customer interactions
24x7 self-service support possible with the help of bots
Technology Stack
NodeJS, Microsoft LUIS, Google DialogFlow, Amazon Lex & Alexa