IntegrationsTrack-PODNanonets
Track-POD + Nanonets

Connect Track-POD and Nanonets to Build Intelligent Automations

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Track-POD

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Choose an Action

Nanonets

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Frequently Asked Questions

How do I start an integration between Track-POD and Nanonets?

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

Can we customize how data from Track-POD is recorded in Nanonets?

Absolutely. You can customize how Track-POD 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 Track-POD and Nanonets?

The data sync between Track-POD 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 Track-POD 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 Track-POD and Nanonets?

Yes, you can set conditional logic to control the flow of data between Track-POD 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.

Track-POD

About Track-POD

Track-POD is a delivery management software that helps businesses streamline their delivery operations, track shipments in real-time, and ensure proof of delivery. It offers features like route optimization, electronic signatures, and real-time tracking to enhance delivery efficiency and customer satisfaction.

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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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