The key functionality showcased by this chatbot is how users can converse with the Chatbot in different languages. Many B2C business (some B2B businesses too) needs to engage with their customers in the local language. Wizergos Platform provides and simple and easy way to create and train chatbot in multiple languages. If multiple languages are enabled the chatbot let's the users select their preferred language.
How to break the ice and start a conversation
Typically, for most chatbots, when users come to chat they know exactly what they want to do or ask. This is because the business are for a specific purpose. Often the chatbots can be on the specific page like support page. However, this is a sample chatbot to showcase certian features of the Wizergos Chatbot platform.
In this case you can first select your preferred language and then type "help" or "?" to see some of the popular questions others have asked this chatbot. This BOT has been trained with some information about Indian languages.
NOTE: All messages for this bot were written in English and automatically translated by the BOT to Bengali, Kannada, Malayalam, and Hindi. So, some of these message constructions are not great. But one can fix some of these language issues by manually fixing these translations or by doing language specific training.
Features of the Wizergos Platform it highlights
Ability to Select Language: When setting up a chatbot, businesses will get a way to select supported languages. If multiple languages are selected for a chatbot, users will get a option to select their language
Automatic translation of system and social messages: The Wizergos chatbot comes pre-trained with few social skills and other skills like callback and appointment scheduling etc. The solution will automatically translate these messages.
Multi Language Training: Wizergos Platform can be used to train the chatbot in multiple languages and also optionally train in one language and then translate the training data into other languages.
NLU: Wizergos platform uses its own NLU engine that provides greater ability to build your own custom chatbot and maintain privacy of your data.
Other features of the Wizergos Chatbot Platform
Callback Scheduling: Callback scheduling is an in-built feature of the Wizergos Chatbot Platform. In this case if the chatbot cannot find any relevant information and also cannot find a live chat agent, it will schedule a callback.
Appointment Scheduling: Appointment scheduling is an in-built feature of the Wizergos Chatbot Platform. In this case if the chatbot cannot find any relevant information and also cannot find a live chat agent, it will schedule an appointment.
Voice based Chatbot: Users can interact with the Wizergos Chatbot either by typing in their requests and responses or by speaking; and also get the responses back from the BOT in voice.
Zero code custom chatbot: Wizergos platform provides a way to build a highly functional custom chatbot for enterprise use cases with integrations with existing Information Systems.
Integrations with external or internal Information Systems: Using the Wizergos chatbot platform one can easily build chatbots that are integrated with their exisiting Information Systems without having to write any code.
Enterprise Grade Security: Wizergos provide single sign-on for Agents and Managers with AD, AzureAD, OKTA, Google. All messages are encrypted on the network and at rest in the storage and databases. Role based access control of all data.
Live chat with Agents
For this Multilingual BOT Live Chat has been disabled
However, the Wizergos Platform provides a hybrid BOT + Livechat solution. So, if the BOT is not able to answer a particular question it can seamlessly handover the chat session to a live agent. This is a sample chatbot and for this we don't have live agents to take care of your requests. In addition to text messages live agents can also use voice, video, and screen share options to interact with the users. Agent selection in case of multilingual chatbot will take language into account.
Note: Wizergos chatbot learns from its failures and interactions of the Agents with users.