How to evaluate an AI photo provider for your fashion catalog
A practical assessment of product accuracy, fit, consistency, review and cost per approved photo when choosing an AI photography provider.
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Evaluate an AI photo provider with a representative batch and an agreed review process. A demonstration image shows a visual style; it does not prove that the solution can represent your collection or sustain results across SKUs.
Prepare a comparable test
Select plain, dark, printed and voluminous garments, plus products with small details. Supply front, back and finishing references identified by SKU. Give every provider the same brief: destination, framing, model, styling and attributes that must not change.
Separate a service’s commercial minimum from an internal review sample. DELFI works from 50 SKUs; the review order within that production is agreed with the brand.
What to check before approval
- Product identity: color, print, buttons, seams and accessories match the garment.
- Fit and silhouette: lengths, proportions and volume are not altered to flatter the image.
- Commercial clarity: the garment remains understandable at product-page size and crop.
- Consistency: lighting, models and styling work as a collection rather than isolated photos.
- Operations: feedback reaches an accountable person and returned files remain identifiable.
Record errors separately from decisions
A missing seam is a product issue. Preferring another pose is an aesthetic decision. Record SKU, file, observation, correct reference and status. This makes corrections comparable without mixing critical errors with personal preferences.
How to measure actual cost
Add production spending to internal preparation, review and coordination time. Divide by the files you actually approved. Record batch timing and delivery blockers too. Do not treat the first-draft date as the finished-catalog date.
What to request in a DELFI proposal
Ask for scope by SKU, formats, validation process, logistics and agreed timing. DELFI manages production using physical garments, AI virtual models and human quality control. Published examples let you examine the work; your own test must establish suitability for your collection.
Real production example: DELFI × Liverpool
The following material was produced by DELFI for Liverpool. It illustrates visual direction and deliverables, not measured sales results or a comparison against the original garment.


Explore the source case and more examples
A practical way to apply this guide
Use a review record with SKU or asset, reference, observed difference, publication blocker, requested correction, owner and status.
Related service
Explore DELFI’s fully managed production
Next useful read
Quality control in AI photos: reviewing fabric, fit and color