How to evaluate an AI photo provider for your fashion catalog
Evaluate talent, rights, product fidelity and commercial evidence when commissioning AI photography for a fashion collection.
DELFI ·
ai photo providerai ecommerce photographyvirtual model evaluationai virtual talent
Cover image: production by DELFI for Liverpool.
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
Request scope by SKU, formats, validation process, logistics and agreed timelines. DELFI manages production with AI virtual models and human review. Preparation can stay with DELFI in CONCIERGE or with your trained team in CO-MANAGED. Published examples let you review its work; your trial should assess relevance to your own 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
Virtual talent and commercial intent
DELFI is an AI virtual talent agency with a proven sales track record. Review the scope and context of evidence rather than projecting a previous result onto another collection.
Evaluate a provider through three outputs
Start with an interpreted brief: what will be produced, missing references and approval ownership. Then review a delivery identified by SKU and version. Finally, follow one correction through to the approved final, including format and filename.
Hypothetical example: two candidates deliver an appealing initial image, but the brand needs to know who resolves a logo error and how that correction is recorded. The correction journey reveals information a selected demo does not show.
Separate operational evaluation from commercial evidence. A portfolio documents visual work; sales claims require their own data and scope. The Topper case: results and limitations.
Related service
Explore DELFI's production modes
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