Engage In
Natural Language Search
Search is the starting point to accessing information, be it public data from Google or enterprise content, yet many companies rely on clunky navigation, multi-filter interfaces or pre-built dashboards. Chirrp’s robust querying capabilities allow users to ask questions using natural language; there’s no need to know specific data elements or complicated database structures. Chirrp’s NLC has the ability to understand user requests, identify the important elements of the question, and follow up if required information hasn’t already been provided.
In this conversation, a user is searching for vacation travel packages.
Understanding by Topic
Chirrp provides human-like conversation through its unique patent-pending methodology, controlled scope, which identifies when a question falls into a known topic. This allows your customers to have rich conversations with the enterprise and get their queries answered quickly and accurately.
In this conversation, the system categorizes the question as pertaining to “physical therapy.” Although the customer’s follow up question doesn’t include “physical therapy”, chirrp understands the topic and attempts to answer the question based on the topic identified.
Flexible Dialogue
Unlike most chatbots, chirrp doesn’t use predefined question and answer sequences. The user has the ability to ask open-ended questions, in their own words, in any order. If the customer decides to change topics, the system will recognize that the new question falls within a different content area and will answer accordingly.
In this example, the customer has questions about travel and hotel. They can easily switch topics, and receive an accurate answer, without delay.
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