OpenAI Vision and Kommo Integration

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Automatically qualify leads using OpenAI Vision to analyze submitted images, updating Kommo CRM in real time. Latenode's visual editor and affordable execution pricing makes building complex AI-powered lead qualification flows simple and scalable, with custom logic as needed.

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OpenAI Vision

Kommo

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Step 2: Choose an Action

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How to connect OpenAI Vision and Kommo

Create a New Scenario to Connect OpenAI Vision and Kommo

In the workspace, click the “Create New Scenario” button.

Add the First Step

Add the first node – a trigger that will initiate the scenario when it receives the required event. Triggers can be scheduled, called by a OpenAI Vision, triggered by another scenario, or executed manually (for testing purposes). In most cases, OpenAI Vision or Kommo will be your first step. To do this, click "Choose an app," find OpenAI Vision or Kommo, and select the appropriate trigger to start the scenario.

Add the OpenAI Vision Node

Select the OpenAI Vision node from the app selection panel on the right.

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Configure the OpenAI Vision

Click on the OpenAI Vision node to configure it. You can modify the OpenAI Vision URL and choose between DEV and PROD versions. You can also copy it for use in further automations.

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Run node once

Add the Kommo Node

Next, click the plus (+) icon on the OpenAI Vision node, select Kommo from the list of available apps, and choose the action you need from the list of nodes within Kommo.

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Authenticate Kommo

Now, click the Kommo node and select the connection option. This can be an OAuth2 connection or an API key, which you can obtain in your Kommo settings. Authentication allows you to use Kommo through Latenode.

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Configure the OpenAI Vision and Kommo Nodes

Next, configure the nodes by filling in the required parameters according to your logic. Fields marked with a red asterisk (*) are mandatory.

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Run node once

Set Up the OpenAI Vision and Kommo Integration

Use various Latenode nodes to transform data and enhance your integration:

  • Branching: Create multiple branches within the scenario to handle complex logic.
  • Merging: Combine different node branches into one, passing data through it.
  • Plug n Play Nodes: Use nodes that don’t require account credentials.
  • Ask AI: Use the GPT-powered option to add AI capabilities to any node.
  • Wait: Set waiting times, either for intervals or until specific dates.
  • Sub-scenarios (Nodules): Create sub-scenarios that are encapsulated in a single node.
  • Iteration: Process arrays of data when needed.
  • Code: Write custom code or ask our AI assistant to do it for you.
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Save and Activate the Scenario

After configuring OpenAI Vision, Kommo, and any additional nodes, don’t forget to save the scenario and click "Deploy." Activating the scenario ensures it will run automatically whenever the trigger node receives input or a condition is met. By default, all newly created scenarios are deactivated.

Test the Scenario

Run the scenario by clicking “Run once” and triggering an event to check if the OpenAI Vision and Kommo integration works as expected. Depending on your setup, data should flow between OpenAI Vision and Kommo (or vice versa). Easily troubleshoot the scenario by reviewing the execution history to identify and fix any issues.

Most powerful ways to connect OpenAI Vision and Kommo

Kommo + OpenAI Vision + Slack: When a new lead is created in Kommo, use OpenAI Vision (not directly available, assuming a placeholder) to analyze images associated with the lead. Then, update the lead card in Kommo and notify the sales team on Slack.

Kommo + Google Drive: When a new lead is created in Kommo, save the customer photo (assuming it exists as a file) to Google Drive and update the lead with the link to the file.

OpenAI Vision and Kommo integration alternatives

About OpenAI Vision

Use OpenAI Vision in Latenode to automate image analysis tasks. Detect objects, read text, or classify images directly within your workflows. Integrate visual data with databases or trigger alerts based on image content. Latenode's visual editor and flexible integrations make it easy to add AI vision to any process. Scale automations without per-step pricing.

About Kommo

Integrate Kommo with Latenode to automate sales processes. Trigger actions in other apps when deals change status, or create Kommo leads from form submissions. Build custom workflows with no-code tools or JavaScript, scaling your sales automation without complex coding. Use Latenode's visual editor to connect Kommo to your entire tech stack.

See how Latenode works

FAQ OpenAI Vision and Kommo

How can I connect my OpenAI Vision account to Kommo using Latenode?

To connect your OpenAI Vision account to Kommo on Latenode, follow these steps:

  • Sign in to your Latenode account.
  • Navigate to the integrations section.
  • Select OpenAI Vision and click on "Connect".
  • Authenticate your OpenAI Vision and Kommo accounts by providing the necessary permissions.
  • Once connected, you can create workflows using both apps.

Can I automatically update Kommo deals using image analysis?

Yes! Latenode lets you analyze images with OpenAI Vision and update Kommo deals automatically. Streamline workflows, enrich customer data, and reduce manual data entry using AI.

What types of tasks can I perform by integrating OpenAI Vision with Kommo?

Integrating OpenAI Vision with Kommo allows you to perform various tasks, including:

  • Automatically extract contact details from images of business cards.
  • Analyze product images to suggest relevant Kommo catalog items.
  • Categorize leads based on visual analysis of submitted photos.
  • Identify potential issues in customer-submitted images for support.
  • Flag inappropriate content in user uploads to ensure brand safety.

How does Latenode handle OpenAI Vision's rate limits with Kommo?

Latenode's advanced queue management ensures smooth operation, handling rate limits by automatically retrying requests and preventing workflow disruptions.

Are there any limitations to the OpenAI Vision and Kommo integration on Latenode?

While the integration is powerful, there are certain limitations to be aware of:

  • OpenAI Vision has its own usage limits, which may affect workflow throughput.
  • Complex image analysis can consume more processing resources, increasing execution time.
  • Real-time analysis depends on network speed and API response times.

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