Connect Planado and Nanonets to Build Intelligent Automations

Choose a Trigger

Planado

When this happens...

Choose an Action

Nanonets

Automatically do this!

Enable Integrations or automations with these events of Planado and Nanonets

Enable Integrations or automations with these events of Planado and Nanonets

Actions

Create Job

Create Job

Create a new job assignment for a field worker

Request a new Action for Planado

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Frequently Asked Questions

How do I start an integration between Planado and Nanonets?

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

Can we customize how data from Planado is recorded in Nanonets?

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

How often does the data sync between Planado and Nanonets?

The data sync between Planado and Nanonets 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 Planado to Nanonets?

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 Planado and Nanonets?

Yes, you can set conditional logic to control the flow of data between Planado and Nanonets. 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.

Planado

About Planado

Planado is a cloud service for the company’s fieldwork management and performance quality control of mobile workers

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Nanonets

About Nanonets

Nanonets is a cutting-edge AI platform that specializes in automating data extraction and processing using machine learning models. It allows businesses to streamline their workflows by converting unstructured data into structured formats, enhancing efficiency and accuracy in data handling.

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