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IBM Watson NLU logo

Get more done with Tidio and IBM Watson NLU integration

Score sentiment and pull entities out of Tidio conversations with IBM Watson NLU.

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Integration availability depends on your Tidio plan.

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Category

AI & LLMs

Integration availability depends on your Tidio plan.

Compare plans

Use cases

What you can do with Tidio and IBM Watson NLU

Read the room at scale

Every Tidio transcript goes through IBM Watson NLU, so a week of conversations has a sentiment trend instead of a few remembered complaints.

Find the recurring problem

Keywords and categories from IBM Watson NLU show which product or page generates the most chats, which is where a fix pays for itself.

Escalate the unhappy ones

A low sentiment score can move a conversation to a senior agent while it is still open, not after the survey comes back.

Tag tickets automatically

Entities pulled by IBM Watson NLU become tags in Tidio, so filtering the inbox stops depending on who remembered to label what.

Overview

IBM Watson NLU reads unstructured text and returns sentiment, entities, keywords and categories. Support conversations are exactly that kind of text, and there are usually more of them than anyone can read. Passing Tidio transcripts through Watson NLU with Zapier or the Tidio API gives every conversation a sentiment score and a set of topics, so escalation can follow the angry ones and reporting can follow the common ones.

Key features

  • Score every conversation IBM Watson NLU returns a sentiment reading for each chat
  • Pull out what was mentioned entities such as products, competitors and order numbers
  • Sort by topic, not by hand categories and keywords group tickets without a reviewer
  • Escalate on tone a sharply negative score can route a chat to a person
IBM Watson NLU logo

IBM Watson NLU

AI & LLMs

Tags

  • Custom Integration

  • Workflow Automation

How it works

Connect IBM Watson NLU in minutes

  1. 1

    Connect Tidio and IBM Watson NLU

    Send closed Tidio transcripts to IBM Watson NLU through Zapier or the Tidio API.

  2. 2

    Decide what to extract

    Choose the features you want back: sentiment, entities, keywords, categories, or the emotion breakdown.

  3. 3

    Send the result somewhere useful

    Write the score back as a Tidio tag, into your warehouse, or both.

Discover more integrations

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AWS Bedrock

Run your conversations through the model you chose in AWS Bedrock and act on what it finds.

Read the mood of a conversation, sort it by topic, and keep personal data out of your logs.

Score the person in the chat with your own model and treat them accordingly.

Keep website chat and student outreach telling the same story, in both directions.

Use your custom GPT in live chat to handle more conversations your way.

Route hard questions to Claude and send the answer back into the Tidio conversation.

Looking for customer service automation that fits your business?

We build custom API integrations to streamline your most important workflows.

Frequently asked questions

Common questions about the IBM Watson NLU integration

Do transcripts leave Tidio?

Yes. The text is sent to IBM Watson NLU for analysis, so treat it as you would any other processor and check what your privacy notice says before you turn it on.

Is sentiment reliable enough to act on?

IBM Watson NLU is accurate on clear cases and less certain on sarcasm and very short replies. Most teams use the score to sort a queue rather than to make a decision on its own.

Is the IBM Watson NLU integration available on my plan?

Availability depends on the Tidio plan you are on. Compare plans to see which plan covers the IBM Watson NLU integration.