The Evolution of Phone Number Database Systems

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One of the best examples of NLQ is chatbots that every business uses to improve customer experience. You interact with the bot in a common language and get answers to your questions. Even Google Search is another example that doesn’t require complex query language to extract information.

Vtiger CRM, like many other AI powered CRMs possesses NLQ capabilities and in Vtiger, it is an integral part of AI Analytics.

We explored AI-powered Analytics with GPT features last year. We highlighted its powerful capabilities, including generating email drafts, suggesting subject lines, and refining chat responses.

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Now, let’s quickly explore the queries you can use to fetch information europe cell phone number list from your CRM database using natural language. There is an Ask Calculus AI feature in Vtiger CRM.


Enter your question into the Calculus window to get the following information:

If you wanted to get information about a contact named Peter Smith, you could type “ Peter Smith contact summary” in the Ask Math search box.

The system will then display details related to Peter such as the date the record was created, open cases associated with the contact, interaction scores, etc. If there are multiple contacts with the same name, it will display information about each of them. Just click on the relevant information you need. This functionality extends to other modules, providing summaries of organizations, cases, etc.