How a luxury jewelry brand automated their entire product photography workflow, processing 30,000+ images monthly with consistent quality at 95% cost reduction.
A luxury jewelry retailer with 5,000+ SKUs was spending $23,000/month on professional photography studios and manual image editing. Processing a new collection took 2–3 weeks, delaying product launches.
We deployed VisualAI Studio - our computer vision pipeline - integrated directly into the client's product management system. The system accepts raw product photos taken on a standardized white background, and automatically removes backgrounds, applies luxury white/gradient backgrounds, enhances jewelry detail, color-corrects for gem accuracy, and outputs 6 standardized variants per product.
A phased, milestone-driven delivery from scoping to production.
Custom-trained background segmentation model for jewelry
Color calibration pipeline for gem and metal accuracy
Automated quality verification with rejection flagging
Direct integration with Shopify product catalog
Batch processing API handling 500 images concurrently
Web portal for studio staff to submit and track jobs
Measurable impact delivered to the client.
Processing time: 3 weeks → same day
Monthly cost: $23,000 → $1,150
30,000+ images processed in first month
99.2% of outputs accepted without manual revision
Product launch cycles accelerated by 78%
Start with a 14-day pilot. See it working on your data before you commit.