Two models on a light grey studio background: a man in a burgundy satin bomber over a plaid shirt and grey T-shirt, light-blue distressed wide-leg jeans and black leather boots, and a woman in a pink satin shirt tucked into brown flared trousers with a black belt and a python-print bucket bag.

Automated look creation for fashion PDPs

One product image in. A complete, on-brand look out.

AIORA's styling agent builds a full outfit around each garment, applies your brand guidelines and publishes the finished image to your product page, in batch, for your entire catalog, with 99% less human intervention.

Trusted by

Before and after

From a packshot to a finished product page.

The styling agent needs nothing more than the garment image you already have. It chooses the pieces around it, applies your brand rules and returns the worn look, framed for the product page.

Packshot of light-blue wide-leg jeans in a faded, distressed wash with rips at the thighs and knees, on a white background.
Product image in
Product page
The same light-blue distressed jeans worn by a model, styled with a grey T-shirt, an open grey plaid shirt, a burgundy satin bomber and black leather boots, on a light grey studio background.
Distressed wide-leg jeans

01How it works

From one garment to a finished PDP

01

Any product image.

Packshot, flat lay, ghost mannequin or on-model, the asset you already have.

Packshot of high-rise brown flared trousers in a textured melange weave, with a pressed crease down each leg, on a white background.

Accepted inputs

  • PackshotShown here
  • Flat lay
  • Ghost mannequin
  • On-model
02

The styling agent builds the look.

It reads category, silhouette, colour and material, picks coordinated pieces and resolves layering, so the result reads as a deliberate outfit, not a random pairing.

Close-up of the brown trousers' textured melange weave and pressed front creases.
Category
Trousers
Silhouette
High-rise, flared
Colour
Brown
Material
Melange weave

Coordinated pieces

  • Pink satin shirt
  • Black belt, gold buckleBlack leather belt with a gold plate buckle.
  • Python-print bucket bagPython-print leather bucket bag.

Layering resolved: shirt tucked in, belt at the waist.

03

Your brand rules shape it.

Model types, framing, backgrounds, styling do's and don'ts, and which combinations are on-brand.

Woman in a pink satin shirt tucked into high-rise brown flared trousers, with a black belt with a gold buckle and a python-print bucket bag on her shoulder, on a light grey studio background.

Constraint layer

Model type
From your casting
Framing
Full length, front
Background
Light studio, seamless
Do
Tonal outfits
Don't
Competing prints
04

Published to the PDP.

Generation, look composition, brand checks and publishing are chained, with 99% less human intervention. An optional approval step can sit before the image goes live on your e-commerce platform.

  1. Generation
  2. Look composition
  3. Brand checks
  4. Approval (optional)
  5. Published
Your e-commerce platform
High-rise flared trousers

02Brand rules

Your rules, applied to every look.

Your brand guidelines sit on the styling logic as a constraint layer: model type, framing, background, styling do's and don'ts, and which combinations are on-brand. Encode them once and every look across the catalog follows them, whatever the garment.

  • Model type
  • Framing
  • Background
  • Styling do's
  • Styling don'ts
  • On-brand combinations
Grey-haired man in sunglasses, a black sleeveless tank, brown cargo trousers with a drawstring waist and black-and-white canvas trainers, on a light grey studio background.
Rule set ICargo trousersSleeveless tank, canvas trainersLight grey studio
Woman in a sage-green silk shirt over wide ecru trousers with a thin black belt, an ochre leather shoulder bag and cream espadrilles, on a white studio background.
Rule set IISilk shirtTonal neutrals, ochre bagWhite seamless
Woman in sunglasses, a fitted brown knit cardigan with a high neck, dark indigo wide-leg jeans, black leather shoes and a slouchy black leather shoulder bag, on a white studio background.
Rule set IIIKnit cardiganDark denim, black leather bagWhite studio, soft shadow

Three rule sets, three garments from the catalog. Each set fixes model type, styling, background and framing for every look it produces.

03Batch

Ten SKUs or ten thousand. Same rules.

Point the pipeline at a set of SKUs, for example a CSV export of a season's drop, and get a complete look for each one in a single run. Styling and brand rules are encoded once, so scaling PDP production becomes a matter of input volume, not headcount.

season-drop.csv
SKUCategoryColourStatus
CRG-TPECargo trousersTaupeLook readyQueued
CHK-BLUCheck shirtBlue checkLook readyQueued
SLK-SGESilk shirtSageLook readyQueued
CRD-BRNCardiganBrownLook readyQueued
TNK-BLKTank topBlackLook readyQueued
DNM-WHTJeansWhiteLook readyQueued
More rows in the file

04Case study

LuisaViaRoma

In production at LuisaViaRoma for over a year

The pipeline behind a 10,000+ SKU luxury catalog

SKUs
10,000+SKUsIn the LuisaViaRoma catalog.
saved per year
€1.5Msaved per yearAt LuisaViaRoma.
per image
€0.50–2per imageFrom €15–50+ (-90%).
Read the case study

05Why it matters

The bottleneck was never the photo. It was the look.

Manual look creation is the slow, expensive part of fashion content: stylists, samples, models and a shoot per item. Automate it and new products go live as soon as a single image exists. Every PDP following the same styling and brand rules.

I

Consistency

Every PDP follows the same rules.

II

Speed

Publish when the first image exists.

III

Cost

The per-SKU cost of a complete look drops sharply. At LuisaViaRoma, cost per image goes from €15–50+ to €0.50–2 (-90%).

06Platform

Built on a complete content pipeline

Look creation runs on the same platform that handles post-production, on-model galleries (front, ¾, side, back), still life, video from stills and multi-language product copy.

MCP server

Your AI assistant can run the pipeline too.

AIORA exposes a Model Context Protocol (MCP) server, so AI agents can use the full fashion content pipeline as tools, from catalog search to on-model image generation, without a custom integration.

Read the MCP server guide
  • Search products by brand, category and gender.
  • Read your brand guidelines and styling rules.
  • Compose looks and generate on-model and still-life images, in batch.
  • Connect with an API key, scoped to your organization.

Works with any MCP-compatible client, including Claude, Cursor and ChatGPT.

07Getting started

Start with your own catalog

The complete content production engine, deployed for your brand.

We run a short PoC on your real catalog and your brand rules. You measure the result, then we scale.

  1. 01

    Proof of Concept

    A short PoC on your real catalog. You measure the result, then we scale.

    • Full pipeline access
    • Runs on your real catalog
    • Measure ROI
    Book a call
  2. 02

    Standard

    Brand rules encoded once, onboarding, and an SLA for ongoing catalog production.

    • Brand rules & style guides
    • Dedicated onboarding & SLA
    • Batch production across the catalog
    Book a call
  3. 03

    Enterprise

    A custom integration with your e-commerce platform, multi-brand support, and priority support.

    • Custom CMS integration & API
    • Multi-brand support
    • Priority support
    Book a call

Self-serve plans for smaller teams

  • Free

    €0/month

    • 20 credits a month
    • 5 AI models
    • 5 environments
  • Creator

    €49/month

    €499 a year

    • 200 credits a month
    • 500 PDP descriptions
    • Save images to the gallery
  • Team

    €199/month

    €1,999 a year

    • 1,000 credits a month
    • CSV bulk uploads
    • Up to 3 people
  • Business

    €999/month

    €9,999 a year

    • 5,500 credits a month
    • Up to 10 people
    • Dedicated support

08FAQ

Questions about look creation

Can AIORA build a full outfit from a single product photo?

Yes. From one garment image, the styling agent selects coordinated pieces and produces a complete look worn on a model, ready for the product page.

How are brand guidelines applied?

Brand guidelines are applied as a constraint layer on top of the styling agent, controlling model type, framing, backgrounds, and which product combinations are on-brand. The same input can produce different on-brand looks for different brands.

Does look creation work in batch?

Yes. You can point the pipeline at a set of SKUs, such as a CSV export, and generate a complete look for each one in a single run, with the same styling and brand rules applied across the catalog.

Is the workflow fully automated from shot to publish?

Generation, look composition, brand checks, and publishing to your e-commerce platform are chained. The workflow needs 99% less human intervention. An optional approval step can sit before publish.

See your own catalog styled automatically.

Send us a few SKUs and your brand guidelines. We'll show you the looks.