Based on the conversation schema, use the necessary elements to build the dialogs starting with selecting the intent.

Once most of the intents, attributes, and keywords exist in the Answers platform, start with dialog design. For example, all the greetings phrases you expect to receive from the end users.īased on the conversation design, create all required attributes.Īs the service chatbot usually depends on keywords to branch the conversation, create keywords as well. Otherwise, go to Intent tab and manually create necessary intents required for the dialogs. If you have the intent training file prepared, import it. Enter Bot name and select WhatsApp as Channel as the mandatory fields and before you activate the bot, make sure you also configure the Sender number, Language, Escape phrases, and Session Timeout. Log in to the web interface and navigate to the Answers module.Ĭlick the CREATE CHATBOT button and create a new chatbot. Now, when you have the idea how your chatbot will resolve your end users’ issues, you are ready to start building your chatbot. Before you can start using WhatsApp, you have to set up the WhatsApp Business account.ĭepending on a specific use case you are trying to resolve by implementing chatbot, you should outline and define what are the pain points of your end users you are trying to resolve via chatbot.Īfter outlining pain points, it is recommended to create an outline of possible answers your chatbot will reply with.īased on that, read our guidelines about conversational design to make your chatbot even better. Products/solutions used in this case are Answers, the Infobip chatbot building platform, and WhatsApp as a channel. In the example where the end users want to know the exact location of your office, you can add training phrases in the Intent element, so the end users can write both „ Option 1“, „ 1“, or any synonym of the number 1, but they can also write “ location”, or “ where is the office”, making chatbot understand their intent, and provide appropriate answer. The logic behind a chatbot is very simple-if end users reply with for example, “ YES” or “ option 1”, or “ first option” then you send one type of information, and if they reply with “ NO” or “ option 2”, or “ second option”, you send another type of information.īesides using simple keywords, you can enable NLP (Natural Language Processing), train the intent engine in the backend and make your chatbot even more powerful. Communication channels (in this tutorial, we've used WhatsApp)Įnd users enter into the chatbot conversation by initiating the conversation with the keyword you define-the most used is the simple “ Hi”.For example, working hours of your offices, or share with them information related to your service (like Terms & Conditions, maps, guides, etc.).

By using Answers, Infobip chatbot building platform, you can easily build a simple chatbot that will assist your customers and provide them the information they need in a self-service mode.

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