Tech StackTechnology We Used
Project Overview
A US E-Commerce marketplace struggled to onboard new suppliers because product data arrived in PDFs, scanned brochures, spreadsheets, and image files with no consistent layout. Starling Elevate built an OCR and intelligent document processing workflow that extracts SKUs, pricing, and specifications and prepares validated records for PIM and storefront publishing.
The three-month project used AWS Textract, Python, FastAPI, PostgreSQL, and AWS S3 to ingest supplier documents, run OCR, validate catalog fields, and export structured product data.
Operations teams no longer retyped product names, categories, and attributes by hand. The system flags duplicate SKUs, missing fields, and pricing gaps before records reach the e-commerce catalog.
The workflow covered document intake, OCR recognition, catalog verification, data standardization, publishing preparation, and automated handling of updated supplier files.
Business ChallengesWhy E-Commerce Businesses Needed OCR for Supplier Catalog Digitization
As the marketplace added vendors, manual catalog entry became the main bottleneck. Each supplier used a different file format and field naming style, which slowed product onboarding and increased listing errors across the US storefront.
Supplier catalogs arrived as PDFs, scanned brochures, spreadsheets, and image files that could not be imported directly into the product catalog.
Teams had to pull product names, SKUs, pricing, specifications, and categories from unstructured documents by hand.
Supplier fields did not align with existing product records, which made mapping and matching slow without automation.
Duplicate SKUs, missing attributes, and inconsistent pricing were hard to catch before products went live.
Frequent catalog updates from suppliers meant teams repeated the same manual data entry work.
Product records needed a standardized structure before sync with PIM and e-commerce systems.
Digitize Supplier Catalogs
with OCR
Convert supplier PDFs, scans, and spreadsheets into structured product records using OCR and intelligent document processing.
Architecture & DesignHow We Built OCR for E-Commerce Supplier Catalog Digitization
Starling Elevate automated the path from supplier document upload to validated product records ready for catalog publishing, with OCR tuned for varied vendor layouts and validation rules that protect listing quality.
Steps
Key DeliveredWhat We Delivered
Starling Elevate delivered a supplier catalog digitization platform that turns unstructured vendor documents into validated, PIM-ready product records for e-commerce publishing and inventory management.
Supplier files in multiple formats were converted into structured product records automatically, which improved catalog consistency and cut manual processing time for the operations team.
ImpactResults &
Business
Impact
Standardized supplier information before publication helped the business onboard vendors faster, improve inventory accuracy, and reduce operational effort across catalog management.
Reduced Manual Catalog Entry
Improved Product Record Accuracy
Better SKU Recognition
Simplified Product Publishing
Cleaner Supplier Catalog Imports
Improved Product Catalog Quality
Reliable Catalog Synchronization
Future FeatureThe Future of OCR for E-Commerce Supplier Catalog Digitization
Document processing is moving beyond basic text extraction toward smarter catalog understanding, richer product attributes, and cleaner supplier data before it reaches storefront systems. Many marketplaces are investing in attribute recognition, automated classification, and multilingual OCR for global vendor networks.
AI Product Attribute Recognition
Automated Catalog Classification
Multilingual Supplier Document Recognition
Final Summary
Starling Elevate completed this OCR supplier catalog digitization project in three months for a US e-commerce marketplace. The platform used AWS Textract, Python, FastAPI, PostgreSQL, and AWS S3 to extract product data from vendor documents and prepare PIM-ready records for storefront publishing.
The client reduced manual catalog entry and improved product record accuracy while simplifying publishing workflows, cleaning supplier imports, and keeping catalog synchronization more reliable as vendor volume grew.
Questions and AnswersFrequently asked Questions
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OCR for e-commerce supplier catalog digitization converts vendor PDFs, scans, and spreadsheets into structured product records with SKUs, pricing, and attributes. Starling Elevate built this workflow for a US marketplace so teams could onboard suppliers faster without manual retyping.
The platform used AWS Textract for document OCR, Python and FastAPI for processing APIs, PostgreSQL for catalog data, and AWS S3 for document storage and intake tracking.
Starling Elevate delivered the OCR and intelligent document processing solution over three months for a US e-commerce business, covering intake, extraction, validation, standardization, and publishing preparation.
Deliverables included OCR supplier catalog digitization, intelligent document processing, SKU identification, product attribute extraction, a catalog verification engine, PIM integration, and a product publishing dashboard.
The business struggled with mixed supplier file formats, manual extraction of product fields, slow mapping to existing records, duplicate SKUs, repeated data entry on catalog updates, and inconsistent records before PIM and storefront sync.
The team reduced manual catalog entry, improved product record accuracy, strengthened SKU recognition, simplified publishing, cleaned supplier imports, raised catalog quality, and gained more reliable synchronization with PIM and e-commerce systems.
Didn't get an answer?
We will reach out to you in less than 2 hours!
Automate Supplier Catalog Processing
Convert PDFs, scanned catalogs, and spreadsheets into structured product data with OCR-powered document processing for faster product onboarding.