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Create your first AI Workflow

Create your first AI Workflow in Elovate by setting up a trigger, adding enrichment and translation actions, testing the output, and synchronizing approved content.

Create your first AI Workflow by combining a trigger with one or more AI actions.

In this example, you will:

  • detect products missing shopping descriptions

  • generate enriched content

  • translate content to German

  • review output before synchronization

Step 1: Open AI Workflows

In Elovate:

Enter a workflow name.

Example: German Shopping Enrichment

Step 2: Configure the trigger

The trigger determines which products enter the workflow.

Example trigger rules:

  • Category equals Dry Cat Food

  • Shopping Description is Empty

  • Status equals Enabled

Only matching products will be processed.

Step 3: Add a Content Enrichment action

Click: Add new action → Content Enrichment

Setup


Action name: Enriching shopping title + Description

AI platform: OpenAI

AI model: GPT-5 mini

Enable moderation: Yes

  • Editors: your name

  • Moderators: your name

What attributes do you want to fill:

Fields:

  • Shopping name

  • Shopping description

Example prompt:

Generate an SEO optimized shopping description using a professional ecommerce tone focused on pet nutrition.

Step 4: Test the action

Before running the workflow:

  • Click Test products

  • Select a few products

  • Review the generated output

Check:

  • content quality

  • formatting

  • tone of voice

  • confidence scores

Testing helps prevent large scale workflow mistakes.

Step 5: Create a translation setting

Before adding a Translation action, make sure a translation setting exists.

To create one:

  • Go to General Settings

  • Open Settings

  • Go to Translations

  • Create a translation setting with the correct source and target language

Example:

Admin → Pip's - DE

The translation setting defines which language pair the workflow should use.

Step 6: Add a Translation action

Return to your workflow and click:

Add new action → Translation

Configure:

  • Action name

  • Moderation settings

  • Translation setting

  • Translation provider

  • Glossaries

  • Attributes to translate

Step 7: Configure the Translation action

Select the translation setting you created earlier.

Then choose whether the action should:

  • override existing content

  • translate each item only once

  • use a glossary

  • translate specific attributes only

For the translation provider, you can select options such as DeepL or AI providers.

DeepL translates automatically.

AI providers such as OpenAI or Gemini allow custom prompts per attribute.

Step 8: Choose attributes to translate

Select the fields this action should translate.

Example:

  • Shopping Title

  • Shopping Description

  • Product Description

  • SEO Title

  • Meta Description

Only selected attributes will be translated.

Step 9: Configure the action scope

In the Scope section, choose which products the action should run on.

You can run the action on:

  • all products in the current workflow scope

  • a limited set of items

For testing, choose a few test items first.

You need at least one test item before previewing the output.

Step 10: Save and test the Translation action

Click:

Save & test prompt

Review the translated output before running the workflow.

Check:

  • grammar

  • terminology

  • formatting

  • ecommerce tone of voice

  • confidence scores

Step 11: Run the workflow

After testing your actions, return to the workflow overview and run the workflow.

The workflow will process matching products through each action in sequence.

Example:

Trigger → Content Enrichment → Translation

Step 12: Review generated output

Open the Results tab to review:

  • generated descriptions

  • translated content

  • confidence scores

  • AI reasoning

  • moderation states

Approve correct output and decline incorrect results if moderation is enabled.

Step 13: Synchronize approved content

After approval, synchronized output updates your product data automatically.

Example platforms:

  • Magento

  • webshop catalogs

  • marketplace feeds

Example workflow structure

Trigger → Content Enrichment → Translation → Moderation → Synchronization

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