Connect Burq and dopplerai to Build Intelligent Automations

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Burq

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dopplerai

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Enable Integrations or automations with these events of Burq and dopplerai

Enable Integrations or automations with these events of Burq and dopplerai

Actions

Cancel delivery

Cancel delivery

Stop a delivery so it will no longer be fulfilled.

Start delivery

Start delivery

Create a delivery so a courier is assigned and tracking is available.

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Frequently Asked Questions

How do I start an integration between Burq and dopplerai?

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

Can we customize how data from Burq is recorded in dopplerai?

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

How often does the data sync between Burq and dopplerai?

The data sync between Burq and dopplerai 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 Burq to dopplerai?

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 Burq and dopplerai?

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

Burq

About Burq

Burq is a cutting-edge platform designed to streamline and enhance your business operations with innovative solutions. Whether you're looking to optimize logistics, improve customer engagement, or drive efficiency, Burq offers a suite of tools tailored to meet your needs.

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dopplerai

About dopplerai

DopplerAI is a vector database used to create embeddings. Upload files to add specialized knowledge to large language models such as ChatGPT.

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