Intelligence

Time and again, we come across situations wherein the users change their preferences during task execution. For example, while booking a flight, the user might change the date of travel and at times even the destination. Amend Entity is a feature for such scenarios. Using this feature, you can allow the…

Human conversations are dynamic in that they tend to switch between intents and entities, often combining multiple things into one. Kore.ai bots platform offers Sub Intents that are defined at the task level, and are the easiest way to shape dialog without having to manage context manually. This enable conversations…

Human conversations are dynamic in that they tend to switch between intents and entities, often combining multiple things into one. Kore.ai bots platform offers Sub Intents that are defined at the task level, and are the easiest way to shape dialog without having to manage context manually. This enable conversations…

Kore.ai Bot Builder tool provides a few default text responses. This section lists them and gives an explanation as to when these responses are triggered. For an overview on Standard Responses, refer here. Statements Message Definition When the user confirms to close the conversation in a language and switch to…

Kore.ai NLP engine breaks conversations down to their essence and can identify and follow-up on multiple action items, or intents, from a single message. The bot can then execute tasks in a sequential and logical manner. You can allow the NLP engine to detect and execute multiple intents identified in…

The best, most memorable bots have conversation flows that feel natural and human-like. Natural conversations, however, often tend to go beyond the pre-defined and linear intent resolution paths that seem inherent in most bots. To further complicate this, users often fail to follow a task to its logical conclusion before…

Human conversations are characterized by twists and turns, and no two directions are ever the same. Natural conversations often tend to go beyond linear intent resolution paths defined in the bots. Ideally, a user allows the bot to take a user intent to its logical conclusion before initiating another, but…

There are multiple places where the platform responds to user utterances without the developer having to code the details. Examples include: Default Dialog when the user intent is not found or understood by the bot. Standard Responses to certain questions, greetings, error and warning scenarios, etc. Event Handlers for certain…