Input mastering checklist: corrections and documentation

A per-SKU checklist for sample issues, missing references, authorized corrections and validation before AI production.

DELFI ·

input masteringai fashion photosfashion catalogvisual qualityreal fitfabric textureai productionpremium serviceai virtual talent

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Cover image: production by DELFI for Topper.

Use this checklist to record sample and reference issues before production. For every correction, identify the evidence that supports validation and who authorized it. It must not hide differences in the real product or fill in unsupported details.

When it is worth applying

  • when the physical garment has localized defects
  • when the sample arrives with the wrong color
  • when the chosen reference does not represent fit well
  • when part of the material needs a cleaner read
  • when the team wants to avoid multiplying a small error across hundreds of assets

The goal is not to hide problems. The goal is to prevent a minor defect from contaminating the whole batch. In fashion, a badly defined edge can distort denim. A poorly interpreted fabric can flatten knitwear. And a wrong input color can create inconsistency across PDP, PLP, campaigns, and video.

DELFI treats input mastering as part of a premium production logic. Before scaling, it reviews the base, corrects what matters, and only then trains and produces. That documents inputs before makes the final output feel truly on-brand. For a brand, this is practical gold: a documented garment reference, and a production that feels much easier to run thanks to concierge service. Correcting early is almost always cheaper than correcting at the end.

Digitization and training in CO-MANAGED

DELFI trains the client's team to photograph each garment following its guide, identify SKUs and upload materials to the platform. The client builds looks and selects models, poses and settings from the available options. In CONCIERGE, DELFI handles this preparation.

Before production, DELFI reviews materials and configuration. If it finds an issue, it explains what to correct; the client adjusts and DELFI revalidates. DELFI retains the production go-ahead to catch errors before they affect the full collection. Compare CONCIERGE and CO-MANAGED

Prepare inputs before repeating an error

Separate garment, brand and campaign references. Identify what must be exact and what can be explored. Correction needs authorization and a source for the final product; it should not become redesign.

To establish the criteria before filling in the fields, read References for AI fashion photos: what to prepare before production.

Authorized sample correction

  • SKU, variant and garment condition:
  • Defect or incomplete reference:
  • Source showing the final product:
  • Brand-authorized correction:
  • Owner and version:
  • Result compared with the reference:

Without evidence of the correct attribute, correction remains pending rather than being invented.

Continue reading

Your next collection

DELFI connects virtual talent with real garments. A convincing identity does not compensate for the wrong variant or construction; accurate inputs protect commercially useful content.

What product do you want to promote, and what does its shopper need to see? Use that answer to agree the talent, usage and production scope.

Discuss your collection with DELFI