Transforming Unstructured Retail Catalogs into Structured Data using AI
📰 Dev.to · Fırat Özgür Özcan
Learn how to transform unstructured retail catalogs into structured data using AI and Vision LLMs, enabling search functionality and improved data management
Action Steps
- Extract text from JPEG catalogs using Vision LLMs
- Build a data engine using Next.js to store and manage extracted data
- Configure search functionality to enable querying of catalog data
- Test and refine the data engine for accuracy and performance
- Deploy the solution to a production environment for real-world use
Who Needs to Know This
Data scientists, software engineers, and product managers can benefit from this approach to improve retail data management and customer experience
Key Insight
💡 Vision LLMs can be used to extract text from images, enabling the creation of structured data from unstructured catalogs
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🛍️ Transform unstructured retail catalogs into searchable data using AI! 🤖
Key Takeaways
Learn how to transform unstructured retail catalogs into structured data using AI and Vision LLMs, enabling search functionality and improved data management
Full Article
An architectural overview of converting giant JPEG catalogs into a searchable data engine using Vision LLMs and Next.js.
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