Everything you need for outstanding customer support
Articbot is based on ASCORE (Articbot Semantic Core engine) developed by our team. It is a composition of various techniques such as natural language processing, machine learning, AI etc. It allows exploring the content in user’s context deeper than traditional text matching. Ascore is written in C# language and it is a bot framework for Articbot.
Companies can set the information about their product/service as a question and answer format.enabling Articbot to gather the information, learn it and then convey it to website visitors.
Chatbots built with Articbot can be easily deployed to multiple communication channels with a simple configuration.
If you’re using a support ticketing system like Freshdesk, Zendesk, etc. can easily integrate with Articbot.
Our bot framework (Ascore) finds out the maximum possible way to find the intent and entity from the user context and maps it with the company’s predefined data.
Banking and finance sectors can setup the EMI calculator for their customers. Users can get the EMI calculator by using a query request.
Articbot supports 100+ languages allowing you to respond to customers globally.
After creating the support ticket, you can then check your ticket status by using chat.
Articbot is the only AI chatbot that provides 24*7 customer support without a human agent.
When a solution is unavailable, Articbot will ask for the customer's email and user query, which is then sent to the company. When the company resolves the query the bot will send the solution back to the user. Enterprise can also enable a live chat that routes session to a human agent or support ticket can also be raise.
Articbot has the potential to analyze the user context based on the situation.
Articbot can make decisions for Closed-ended questions from users.
Articbot can think outside the box by analyzing the user context. The machine learns how to act and respond.
Knowledge about Payment methods
Knowledge about languages
Knowledge about locations
Knowledge about documents
Knowledge about professions and technologies
Knowledge about common customer issues
Articbot can handle complex user context. Our entity extraction process is effective in processing complex queries.
In each chat, our algorithm can detect the emotional variations effectively.
Articbot can identify the person info from the user context. It can fetch person name, email, mobile, designation, place, qualification, etc.