ManualTrigger Automate

ManualTrigger Automate streamlines the process of enriching product data by scanning Airtable for images, utilizing AI to analyze and identify product attributes, and performing internet searches for additional information. This workflow saves time and reduces manual data entry, enhancing productivity for users managing inventory or surveys.

7/8/2025
29 nodes
Complex
manualcomplexlangchainairtableexecuteworkflowtriggersticky noteadvancedapiintegrationlogicconditionalrouting
Categories:
Complex WorkflowManual TriggeredData Processing & AnalysisBusiness Process Automation
Integrations:
LangChainAirtableExecuteWorkflowTriggerSticky Note

Target Audience

  • Building Surveyors: Professionals who need to identify and document product attributes from images.
    - Data Analysts: Individuals looking to automate data enrichment processes using AI.
    - Developers: Those interested in integrating AI and Airtable for product management.
    - Businesses: Companies seeking to enhance their inventory management through automated workflows.

    • Problem Solved

    This workflow addresses the challenge of manually identifying product attributes from images by leveraging AI technologies. By automating the process of image analysis and data enrichment, it significantly reduces the time and effort required to gather accurate product information, allowing professionals to focus on more strategic tasks.

    Workflow Steps

  • Manual Trigger: The workflow begins when the user clicks the Test workflow button.
    2. Get Applicable Rows: It retrieves rows from an Airtable base that contain product images needing analysis.
    3. Analyze Image: The workflow uses an AI model to analyze the image and extract attributes such as description, model, material, color, and condition.
    4. Object Identifier Agent: This agent processes the results and decides if further action is needed, such as using a reverse image search or web scraping for additional information.
    5. Actions Router: Based on the analysis, it routes the process to either the SERP Google Reverse Image API or the Firecrawl Scrape API for further data enrichment.
    6. Scraping and Responses: The workflow checks if scraping was successful and prepares the appropriate response.
    7. Enrich Product Rows: Finally, it updates the Airtable rows with the enriched data, marking the product as AI-processed.

    • Customization Guide

    To customize this workflow:
    - Modify Airtable Base and Table IDs: Update the Airtable base and table IDs in the Get Applicable Rows and Enrich Product Rows nodes.
    - Adjust AI Model Parameters: Change the AI model settings in the OpenAI Chat Model1 node to fit your analysis needs.
    - Add Additional Tools: Integrate more tools into the Actions Router for enhanced functionality, such as additional APIs for data retrieval.
    - Customize Image Analysis Prompts: Tailor the prompts in the Analyze Image node to focus on specific attributes relevant to your products.