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NLP in customer service: How it’s used and where it’s going

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Tim Porter

Senior Director, Product Management

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Customer Support + ExperienceArtificial Intelligence

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👉 Did you know?

Not all NLP models are made the same! The quality of NLP models can vary greatly depending on their inputs—different data in, different quality out. Google Bard and OpenAi’s ChatGPT, for example, use two different NLP models known as Large Language Models (LLM), but with different data. Dialpad Ai, for example, uses a huge proprietary data set that’s specific to business communications. This makes its outputs very specific to the contact center use case—and along with its ease of use in design and in-house team’s (including many PhDs!) leading AI expertise—makes Dialpad a uniquely powerful AI communications platform for businesses.

Screenshot of Dialpad Ai analyzing the sentiment of multiple calls in real time
📚 Further reading:

Learn more about how we built this sentiment model in Dialpad Ai.

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Screenshot of Ai CSAT dashboard

Get a hands-on look at NLP in customer service

Book a demo to see how it works in Dialpad Ai Contact Center, or take a self-guided interactive tour of the app on your own!

FAQs about NLP in customer service