How chatbot navigates on website

As the product is released and available for download, all attention becomes focused on client support, their satisfaction and rapid-fire response to their feedback. The significance of this stage, still, can frequently be undervalued or indeed ignored by numerous as it's believed that product development is the hardest part of the product lifecycle and as long as it's overcome, everyone can breathe out.

The experience frequently illustrates that the most intriguing part is yet to come together with bug fixing, update releases, customization, etc. It's thanks to the guests utmost of the issues related to the product or service reach the attention of the inventors after release. Understanding this leads to the conclusion that communication with a client has to be duly organized and it has to be nonstop.
24/7 client support costs a enough penny, especially if support specialists work night shifts and bear expansive training. For this reason, numerous businesses seek to postpone at least some part of their duties to a machine in a form of helpdesks, FAQs, and chatbots.


When everything is clear with the first two results, chatbots are still commodity that's used simply as a way to admit contact information from a stoner and a brief description of an issue they're having so that client support specialists or deals representatives could communicate them and handle their issues directly. On the one hand, similar chatbots are extensively used, on the other hand, they relatively frequently fail to give druggies with meaningful information they need. The most standard script is asking a question and being diverted by the chatbot to the deals platoon, which can hardly be called an innovative and rapid-fire- response result.
The necessity to give timely support to our own guests and the absence of truly effective and nicely-priced results on the request encouraged our platoon to initiate the work on a chatbot that can navigate website callers through the information on our product.
We started with a chatbot that can help druggies with information about one of our products — Intellexer Summarizer. The product has its own website. Intimately it’s not always clear what this or that function may perform, what complicated terms mean, what the difference between analogous products is, or how to get a reduction, etc. Chatbot whom we named Asktalos impeccably handles similar queries, furnishing druggies with terse answers or turning them to the runners they're looking for.
In fact, all the information we demanded while developing Asktalos was website content which was uprooted, reused by our internal tools and presented in a suitable form in a database. The information in the database is divided into information relating to the website content and information serving for logical discussion inflow. The ultimate makes up a universal chatbot database.

Asktalos can also continuously learn from the questions asked. So to say the further it's used, the further questions are asked, the better delicacy of the answers Asktalos provides.

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