ServiceM8 and OpenAI Vision Integration

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Automatically extract equipment details from images uploaded to ServiceM8 using OpenAI Vision, creating tagged assets. Latenode's visual editor and affordable execution costs make this easy, with customizable logic for any use case.

ServiceM8 + OpenAI Vision integration

Connect ServiceM8 and OpenAI Vision in minutes with Latenode.

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Automate your workflow

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ServiceM8

OpenAI Vision

Step 1: Choose a Trigger

Step 2: Choose an Action

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How to connect ServiceM8 and OpenAI Vision

Create a New Scenario to Connect ServiceM8 and OpenAI Vision

In the workspace, click the β€œCreate 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 ServiceM8, triggered by another scenario, or executed manually (for testing purposes). In most cases, ServiceM8 or OpenAI Vision will be your first step. To do this, click "Choose an app," find ServiceM8 or OpenAI Vision, and select the appropriate trigger to start the scenario.

Add the ServiceM8 Node

Select the ServiceM8 node from the app selection panel on the right.

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ServiceM8

Configure the ServiceM8

Click on the ServiceM8 node to configure it. You can modify the ServiceM8 URL and choose between DEV and PROD versions. You can also copy it for use in further automations.

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Connect ServiceM8

Sign In
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Run node once

Add the OpenAI Vision Node

Next, click the plus (+) icon on the ServiceM8 node, select OpenAI Vision from the list of available apps, and choose the action you need from the list of nodes within OpenAI Vision.

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OpenAI Vision

Authenticate OpenAI Vision

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

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Connect OpenAI Vision

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Run node once

Configure the ServiceM8 and OpenAI Vision 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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OpenAI Vision Oauth 2.0

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Select an action *

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The action ID

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Run node once

Set Up the ServiceM8 and OpenAI Vision 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 ServiceM8, OpenAI Vision, 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 β€œRun once” and triggering an event to check if the ServiceM8 and OpenAI Vision integration works as expected. Depending on your setup, data should flow between ServiceM8 and OpenAI Vision (or vice versa). Easily troubleshoot the scenario by reviewing the execution history to identify and fix any issues.

Most powerful ways to connect ServiceM8 and OpenAI Vision

ServiceM8 + Slack: When a job is completed in ServiceM8, a notification is sent to a designated Slack channel. This helps the safety team stay informed about potential hazards identified during the job.

ServiceM8 + Google Sheets: When a new job is created in ServiceM8, a new row is added to a Google Sheet. This allows for tracking job details and equipment conditions in a central spreadsheet.

ServiceM8 and OpenAI Vision integration alternatives

About ServiceM8

Sync ServiceM8 field service data with other apps inside Latenode to automate scheduling, invoicing, and client communication. Use Latenode's visual editor to build custom workflows triggered by ServiceM8 events, avoiding manual data entry. Connect accounting, CRM, and marketing tools, extending ServiceM8's capabilities without complex coding.

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.

See how Latenode works

FAQ ServiceM8 and OpenAI Vision

How can I connect my ServiceM8 account to OpenAI Vision using Latenode?

To connect your ServiceM8 account to OpenAI Vision on Latenode, follow these steps:

  • Sign in to your Latenode account.
  • Navigate to the integrations section.
  • Select ServiceM8 and click on "Connect".
  • Authenticate your ServiceM8 and OpenAI Vision accounts by providing the necessary permissions.
  • Once connected, you can create workflows using both apps.

Can I automatically analyze job site photos for damage reports?

Yes, you can! Latenode lets you automate image analysis from ServiceM8 using OpenAI Vision, creating detailed reports and improving efficiency with visual AI insights.

What types of tasks can I perform by integrating ServiceM8 with OpenAI Vision?

Integrating ServiceM8 with OpenAI Vision allows you to perform various tasks, including:

  • Automatically extracting equipment details from photos uploaded to ServiceM8.
  • Generating repair estimates based on image analysis of damaged items.
  • Identifying potential safety hazards in job site photos for risk assessment.
  • Classifying types of property damage from customer-submitted images.
  • Verifying completed work by comparing before-and-after photos automatically.

Can I trigger OpenAI Vision analysis based on ServiceM8 job status?

Yes! Latenode enables workflows triggered by ServiceM8 updates, allowing real-time AI analysis of uploaded images, ensuring immediate action and insights.

Are there any limitations to the ServiceM8 and OpenAI Vision integration on Latenode?

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

  • OpenAI Vision has usage limits based on its API tier, potentially affecting high-volume analysis.
  • Image analysis accuracy depends on image quality and the complexity of the scene.
  • Custom model training may be required for highly specific image recognition tasks.

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