AI-BASED VIDEOBOT
DataQuest|May 2020
CoRover provides enterprise conversational AI platform to help businesses give authentic information to their customers’ queries automatically and instantly. This can be in any language (foreign, vernacular), any channel (web, app, social media, IVR, SMS, email), any format (video, voice, text), so that users can save time and the organisations can save cost. Here, Ankush Sabharwal, Founder & CEO, CoRover, tells us more
Aanchal Ghatak
AI-BASED VIDEOBOT

Elaborate on how CoRover has been working on the conversational AI space

In the last couple of years, conversational AI has been a talk-trend amongst the majority of the companies. In the current scenario, most of them have started recognising its importance even more. Chatbots/ VA is one of the most natural implementations of AI, which gives the benefit from day one of the implementation, and also reduces the enterprises’ efforts in deploying humans to do all the work.

At CoRover, we have developed an innovative conversational AI platform to help businesses give quick, automated and authentic responses to the user queries and actions. The generated responses can be accessed in multiple languages (foreign, vernacular) on any channel (web, app, social media, WhatsApp, IVR, SMS, e-mail) and in different formats such as video, voice, and text.

With our platform, we help our customers in bringing down about 70% of the support efforts, and help them generate improved user experience and customer service along with reducing about 30% of the cost-overheads. Furthermore, our patented Chatbot Markup Language (CBML) and Chatbot as a Service (CaaS) make it extremely easy to integrate and access.

We have booked 300%+ more revenue as compared to last year while serving Indian Market. We are expecting 400% revenue growth this year as we have 150+ inbound leads being worked up at various stages.

Elaborate on Askdoc video bot. What are the general queries on Covid-19 and how has Askdoc video bot been useful so far?

This story is from the May 2020 edition of DataQuest.

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This story is from the May 2020 edition of DataQuest.

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