How One Team Reliably Processes 7,500 Product Images Daily at Scale

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An eCommerce image processing team has detailed the technical pipeline they built to handle over 7,500 product images per day with minimal errors. At that volume, even a 2% error rate translates to 150 broken images reaching client storefronts on platforms like Amazon and Shopify. The team found that fully automated AI-based background removal consistently failed on complex product types such as jewelry, transparent items, and fabrics, with defects invisible at thumbnail size but obvious at full zoom. A key compliance challenge was Amazon's strict requirement of exactly RGB 255,255,255 for product backgrounds, which AI tools frequently failed to meet despite producing visually white-looking results. Their solution combined automated pre-processing and complexity scoring with targeted human review at critical quality-check stages, rather than attempting end-to-end automation.

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