Feature Update January 2020
Slack Live Chat
Chatbots are of course very smart, and have an answer for almost everything. But there are also situations where a chatbot should better hand over the conversation to a real person. We at Apptiva mostly use slack channels for live chats. Therefore it was obvious to integrate Slack in a simple way with Bubble CMS.
When creating an intent, the user can now select a so-called "Slack Expert Intent". When this intent is triggered, the chatbot will start a conversation with the previously configured slack channel.
Entity based intents
This title may sound a bit more complicated than the actual thing is. Often chatbots need to be able to give different answers based on a parameter. If, for example, a chatbot from a large company is asked: "How much do I earn during my apprenticeship?", it usually cannot give an answer right away. The chatbot must first ask which apprenticeship it is about.
With entity based intents, Bubble CMS can be configured to do just that. At first, an entity such as "Apprenticeship" needs to be created. Afterwards, a prompt can be defined for a "Salary" intent, which in this case could be like: "What apprenticeship are you interested in?” Finally, a suitable answer can be entered for all entity values.
Text-based responses are great. But sometimes it's good if you can integrate a link in an answer, or maybe even display an image. For this reason we have integrated the use of Markdown in answer bubbles. In addition to images and links, the answers can be formatted as desired.
What are your challenges when managing chatbot content? What prevents you from using Bubble CMS?
Get in touch with us. We would be happy to provide you with a test environment.