Three channels, three sets of image requirements, three times the work — unless you have a single system that handles the transformation automatically.
If you sell on Amazon, OTTO, and your own Shopify store simultaneously, you already know the challenge: each platform has its own image requirements, and what works for one channel often does not work for another.
This is not arbitrary. Each platform has optimized its image requirements for its own customer behavior, technical infrastructure, and quality standards. Understanding what each channel needs — and building a workflow that delivers it without multiplying your workload — is what separates retailers who scale from those who stagnate.
Amazon has the strictest image requirements of the major DACH channels:
Amazon enforces these requirements automatically. Listings that do not meet the main image standard are either suppressed or flagged for correction. At scale, manual compliance checking is not realistic.
OTTO’s image requirements are somewhat less rigid than Amazon’s, but still structured:
OTTO also uses image quality scoring as part of its listing ranking algorithm. Products with more high-quality images rank better in OTTO’s search results — making thorough image management directly relevant to sales performance.
Shopify is the most flexible of the three, but there are still best practices that affect performance:
Without a central system, serving three channels with different image requirements means maintaining three separate image sets for every product. For 1,000 products with 5 images each, that is 5,000 original images multiplied by 3 channel variants — 15,000 files to manage, update, and keep in sync.
When a product image is updated — a new studio shot, a corrected detail view, a rebranded lifestyle image — all three channel versions need to be updated. Without automation, this is a manual process repeated for every update, on every product, for every channel.
The principle is simple: store once, deliver everywhere. A DAM system stores the original high-resolution image for each product. Channel-specific transformation rules define how that original is converted for each destination:
These rules are defined once. Every subsequent export applies them automatically — to every product, for every update.
Productbay’s DAM implements exactly this model. Combined with the PIM, channel exports automatically include the correct images — product data and assets are always linked, and channel-specific transformations are applied without manual intervention. You can also check all available integrations to see which channels are supported.
Productbay DAM + PIM delivers the right image in the right format to every channel — automatically. Book a free demo.
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