AI-powered product imagery workflow used daily by a 5-person e-commerce team. Transforms vendor product photos into e-commerce-ready assets for foxs.com, replacing outsourced model photography and eliminating ~$100K in annual production cost.
Product imagery depended on a small pool of models who were expensive, not always available, and slow to schedule. That created delays, added production cost, and pulled the e-commerce team into manual coordination work. This workflow turns vendor photos into on-brand product assets roughly 10x faster and about 100x cheaper.
Product images come in as iOS photo uploads or directly from Fox's centralized image database, then get grouped by SKU for production.
Gemini processes batches in parallel, generating front, back, on-model, and standalone product assets from the selected source imagery.
The team can generate, review, edit, and refine each image with prompting before approving assets for commerce use.
Approved assets are pushed into Shopify with the right product context so they can move into the live storefront workflow.
Team
5-person daily workflow
Cost
~100x cheaper production flow
Speed
~10x faster imagery turnaround
Scale
5K annual SKUs supported
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