



Managing supplier catalogs became increasingly difficult as new vendors joined the platform. Product information arrived in PDFs, scanned brochures, spreadsheets, and image-based documents, each with a different layout. Teams manually extracted product names, SKUs, pricing, and specifications before products could be listed online, making onboarding slow and error-prone. Starling Elevate developed an automated OCR solution that converted supplier catalogs into structured product records using Optical Character Recognition and Intelligent Document Processing. The system extracted product information, validated catalog data, and prepared standardized records for Product Information Management (PIM) and e-commerce platforms, significantly reducing manual catalog processing.
As product inventories expanded, manual catalog processing became a major operational bottleneck. Every supplier followed a different catalog format, making product imports inconsistent and time-consuming. The business required an automated document processing workflow capable of extracting structured product information while maintaining catalog quality before publication.

Processing supplier catalogs received in PDFs, scanned brochures, spreadsheets, and image files.

Extracting product names, SKUs, pricing, specifications, and category information from unstructured documents.

Mapping supplier data to existing product records without manual intervention.
Detecting duplicate SKUs, missing attributes, and inconsistent product information before import.
Handling frequent supplier catalog updates without repeating manual data entry.

Creating standardized product records ready for Product Information Management (PIM) and e-commerce systems.

Convert supplier documents into structured product records using OCR and Intelligent Document Processing.
The solution automated the complete supplier catalog processing workflow from document intake to validated product records ready for publishing. Intelligent OCR recognized product information across multiple catalog formats, while validation and transformation ensured consistent, high-quality data before synchronization with the client's catalog management system.






The implementation delivered a complete supplier catalog digitization platform capable of transforming unstructured vendor documents into standardized product records ready for catalog publishing and inventory management.

Supplier catalogs from multiple document formats were automatically converted into structured product records, improving catalog consistency while significantly reducing manual processing effort.
By standardizing supplier information before publication, the business accelerated product onboarding while improving inventory accuracy and reducing operational effort across catalog management.

Document processing continues to evolve beyond text extraction. Future enhancements will focus on automatically understanding product relationships, enriching product content, and organizing supplier information before it reaches e-commerce systems.
Supplier catalog digitization is essential for maintaining accurate product information and accelerating inventory updates across e-commerce platforms. Starling Elevate implemented an OCR-powered document processing solution that transformed supplier catalogs into standardized product records using Optical Character Recognition and Intelligent Document Processing.
The solution reduced repetitive catalog preparation, improved product data quality, and streamlined product publishing, helping the client manage growing supplier catalogs with greater speed and consistency.

Convert PDFs, scanned catalogs, and spreadsheets into structured product data using OCR-powered document processing for faster product onboarding.