Product Data Enrichment Automation

• 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.

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.

1. 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.