CoRover : Improving Customer Satisfaction And Driving New Business Opportunities
Chatbots and Virtual Assistants are a major paradigm shift in how humans interact with technology and achieve automation across an increasing number of tasks. According to Gartner, by 2020, 85 per cent of the customers would interact with chatbots and other digital assistants regarding their customer queries. This will facilitate organizations to improve customer satisfaction and drive new business opportunities.Perfectly understanding these requirements, Bangalore based Startup, CoRover, provides Conversational AI Platform to improve sales; save cost (33 percent); reduce support activities (70 percent) and improve customer/employee engagement and satisfaction.
This award-winning chatbot is secure, scalable and reliable and can handle 150 thousand concurrent users. With its widget based integration capabilities, it can be integrated with any website or mobile app in ten minutes. Developers need not develop additional lines of code to have it integrated. All they have to do is input a single line of code. The bot can be easily integrated with all platforms such as Android, iOS, websites and other social media channels as well. Moreover, it is very simple and easy to train the bot - defining the workflows and integrating with any client/third party APIs.
“Our AI framework powered chatbot as a Service (CaaS), Ask iRA is one of the most accessed Enterprise Chatbot of the world having 60 million plus users from 186 countries,” says Ankush Sabharwal, Founder, CoRover. “This helps in generating huge amount of data, making the ML algorithms better with more data,” he adds.
The company provides video, voice, text based digital assistants in multi-languages (foreign and vernacular/regional languages). It also has Live Analytics Dashboard and feedback mechanism. Over 2 billion interactions have been handled with 85 percent positive users’ feedback.
Proprietary Cognitive AI framework
Digital assistants can access a large spectrum of data and provide everything from data insights that are readily available to fieldspecific content stored in integrated databases. The integration capacity, flexibility and self-learning ability of digital agents are the major benefits derived by using them. CoRover’s Cognitive AI framework based on AI, ML and NLP
facilitate in providing AI Digital Assistants. These digital assistants help organizations digitally, not only by chat or text but users can also utter and ask questions by voice and receive responses by voice, that too in any language. When it comes to the Cognitive AI framework, CoRover uses its own AI, ML based multilayered proprietary framework.
The company’s proprietary cognitive AI framework takes the message from the user and runs it through different layers of its multilayered framework, enabling it to provide accurate answers instantly (within 0.5 seconds). While the first layer is built to provide auto suggestions through its autocomplete AI tool, the second layer is designed using Artificial Intelligence Markup Language to handle small talks. The third layer is built using NLP, where the user’s query is taken to find out the intent and the entity. Fourth layer is for Unsupervised Algorithm and the fifth layer is for Deep Learning. Appropriate response to the user is decided by the Deep Multi-Task Learning component which is connected with all the above mentioned layers and with the internal & external knowledge bases. In case, the bot is not really sure of the answer it either asks the user to rephrase the question or contact the call center for live chat with the support staff. Therefore, the company also has integrated live chatting option, for users who are not happy with the auto answer given by the bots.
CoRover is currently busy responding to RFPs and is also receiving a lot of requests from many global enterprises and government organizations for their accuracy, security and scalability work proven through the Indian Railways/IRCTC, KSRTC, NPCI, SRS, Orange and many other implementations.
Our AI framework powered chatbot as a Service (CaaS), Ask iRA is one of the most accessed Enterprise Chatbot of the world having 60 million plus users from 186 countries. This helps in generating huge amount of data, making the ML algorithms better with more data
The company’s proprietary cognitive AI framework takes the message from the user and runs it through different layers of its multilayered framework, enabling it to provide accurate answers instantly (within 0.5 seconds). While the first layer is built to provide auto suggestions through its autocomplete AI tool, the second layer is designed using Artificial Intelligence Markup Language to handle small talks. The third layer is built using NLP, where the user’s query is taken to find out the intent and the entity. Fourth layer is for Unsupervised Algorithm and the fifth layer is for Deep Learning. Appropriate response to the user is decided by the Deep Multi-Task Learning component which is connected with all the above mentioned layers and with the internal & external knowledge bases. In case, the bot is not really sure of the answer it either asks the user to rephrase the question or contact the call center for live chat with the support staff. Therefore, the company also has integrated live chatting option, for users who are not happy with the auto answer given by the bots.
CoRover is currently busy responding to RFPs and is also receiving a lot of requests from many global enterprises and government organizations for their accuracy, security and scalability work proven through the Indian Railways/IRCTC, KSRTC, NPCI, SRS, Orange and many other implementations.
