IntegrationsFreshchat ClassicBigML
Freshchat Classic + BigML

Connect Freshchat Classic and BigML to Build Intelligent Automations

Choose a Trigger

Freshchat Classic

When this happens...

Choose an Action

BigML

Automatically do this!

Use the Built-in Integrations

Actions and Triggers

When this happensTriggers

A trigger is an event that starts a workflow.

New Resource

New Resource

Triggers when a new resource is created

Request a new Trigger for Freshchat Classic

Do thisActions

Action is the task that follows automatically within your Freshchat Classic integrations.

Create a User

Create a User

Add a new user to Freshchat.

Search a User

Search a User

Find and get details of all users who meet your search criteria.

Create a Conversation

Create a Conversation

Start a new chat thread.

Search User

Search User

Search a user.

Create Anomaly Score

Create Anomaly Score

Calculates the anomaly score of a data instance.

Create Centroid

Create Centroid

Find out the closest cluster to your data instance

We'll help you get started

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Frequently Asked Questions

How do I start an integration between Freshchat Classic and BigML?

To start, connect both your Freshchat Classic and BigML accounts to viaSocket. Once connected, you can set up a workflow where an event in Freshchat Classic triggers actions in BigML (or vice versa).

Can we customize how data from Freshchat Classic is recorded in BigML?

Absolutely. You can customize how Freshchat Classic data is recorded in BigML. This includes choosing which data fields go into which fields of BigML, setting up custom formats, and filtering out unwanted information.

How often does the data sync between Freshchat Classic and BigML?

The data sync between Freshchat Classic and BigML typically happens in real-time through instant triggers. And a maximum of 15 minutes in case of a scheduled trigger.

Can I filter or transform data before sending it from Freshchat Classic to BigML?

Yes, viaSocket allows you to add custom logic or use built-in filters to modify data according to your needs.

Is it possible to add conditions to the integration between Freshchat Classic and BigML?

Yes, you can set conditional logic to control the flow of data between Freshchat Classic and BigML. For instance, you can specify that data should only be sent if certain conditions are met, or you can create if/else statements to manage different outcomes.

Freshchat Classic

About Freshchat Classic

Freshchat is a modern messaging software designed to help businesses engage with their customers through various communication channels. It offers features like live chat, chatbots, and in-app messaging to enhance customer support and improve customer experience.

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BigML

About BigML

BigML is a leading machine learning platform that provides a wide range of tools and services for creating, deploying, and managing machine learning models. It offers an intuitive interface and powerful APIs to help businesses and developers harness the power of machine learning for predictive analytics, anomaly detection, clustering, and more.

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