Building a Data-Rich Image Repository for a Medical Equipment E-commerce Platform
Overview:
A leading B2B medical e-commerce platform faced challenges with 5,000+ unstructured and untagged product images, impacting searchability, discoverability, and catalogue consistency.
Approach:
- Deployed a team of 20 data specialists and annotators
- Established a structured, high-volume image processing workflow
- Created attribute-rich image datasets aligned to product categories
- Enriched product titles with key attributes such as category, end-use, and dimensions
Execution:
- Processed each image through multi-layer workflows:
- Background removal
- Size standardization
- Watermarking
- Intelligent categorization
- Generated 5 unique, optimized images per product display page (PDP)
- Ensured duplicate-free, high-quality outputs through multi-level QA
Impact:
- Delivered 50,000+ fully processed and annotated images in 16 weeks
- Built a searchable, catalogue-ready image repository
- Enabled seamless integration across e-commerce platform, ERP, and billing systems
- Improved product discoverability and visual consistency at scale