Blog
What actually works in fashion content. No theory — just lessons from 140+ brand partnerships.
Google now dresses shoppers in your clothes, and it builds the picture from your product photo. The styling that sells a look on the product page is often exactly what the try-on cannot use.
Fifteen trucks on Monday. Nothing on Tuesday. Nine on Thursday. Goods arrive in bursts, a studio works at a steady rate, and the gap between the two is where a season quietly disappears. The queueing mathematics behind three-week delays, what the wait costs in holding, realised price and weather, and the one number worth measuring instead of images per day.
Conversion sits with marketing, returns sit with operations, and the two numbers get read months apart. They meet on exactly one asset: the product page. Here is the arithmetic, why flattering photography moves both the wrong way, and how to test the fix on one category.
gopackshot spent three days at CIFF 67 in Copenhagen as an official partner. One question came back at almost every table: how much AI can a brand use before its customer feels lied to.
CIFF 67 official partner announcement: EU AI Act + EU withdrawal rules as floor topics
What the EU AI Act (Article 50) changes for AI-generated product imagery in fashion e-commerce, and how to prepare before 2 August 2026.
Zalando and ASOS already reward video in PDP ranking. The brands still treating it as a campaign format are leaving conversion on the table.
The 84% cost reduction from AI face swap is real. So is the 14–69% hallucination range when you run it without proper supervision. Here is what the full picture looks like.
In May we took a talk to a cinema in Warsaw about the part of AI adoption that rarely makes the case study: what happens inside the team once the founder has announced it. Kamil Czaja and Klaudia Kosmala on stage, one CEO view and one COO view.
A customer who clicks Add to Cart has already decided. The return happens when the box opens and reality doesn't match the screen.
![[ECD 2026 conclusions] Demand Is Down. AI Promises Are Everywhere. Here's What Most Brands Miss.](/_next/image?url=https%3A%2F%2Fcdn.sanity.io%2Fimages%2Fc00ur4bn%2Fproduction%2F96a58ecbf92b53a998d2231b04e233f1cfa9f256-1600x1200.jpg%3Fw%3D800%26q%3D80%26auto%3Dformat&w=3840&q=75&dpl=dpl_FdSVDM5453sCyDoiF6VP67vZdCoT)
Notes from ECD Munich 2026: why the cheap AI content pitch lands so well right now, what it leaves out, and what fashion brands should do about it.
gopackshot is a main sponsor of ECD Munich 2026 on 12 May: a masterclass on Find, Convert, Keep and an Expert Deep Dive on the ROI of applied AI.
Where AI genuinely delivers in fashion content production, where it fails without expert control, and how to tell them apart before it reaches your catalogue.
Ghost mannequin photography reduces fashion e-commerce return rates by 20-30% and lifts conversion by up to 45%. Here is how to evaluate outsourcing partners and what enterprise-grade production actually looks like.
Fashion brands think their product photography is "good enough" because guidelines are met. But meeting guidelines and selling are different things. Here is the pattern that separates underperforming brands from the ones that win.
97% of Icelanders own at least one 66 North piece. Scaling that brand equity into digital content for new European markets required rethinking every aspect of product photography, from sample handling to AI integration.
Five AI techniques that are actually in production in 2026, what each one costs you in quality, and what fashion brands need in place before adopting them.
In-house fashion photography studios cost $200,000-400,000/year in overhead and cannot scale for peak season. Here is what the numbers actually say about outsourcing, and what to look for in a content production partner.
CIFF 66 official partnership recap (backdated 2026-01-30)
Seven phases from moodboard to delivery: what happens in the studio, where AI takes over the background, and who checks the result before you see it.
How to use AI in product photography without pushing returns up: Kamil Czaja on the AI Commerce Podcast, on authenticity, trust and where AI still fails.
Kamil Czaja on the Art of E-commerce podcast: what makes a thumbnail work, where AI helps in production, and why the photographer’s job did not disappear.
Colour, styling, retouching, shadow and detail shots: the five things a customer judges before deciding whether your product is worth the risk.
When a flat lay is enough and when a ghost mannequin earns its cost, decided by the product, the buyer and the marketplace the photo has to pass.
Where AI entered fashion product photography, what it took over first, and which parts of the process still need a person to sign off on the result.
Most studios offer a free test session. What to send, what to ask for back, and how to read the result before you sign a production contract.
What Zalando, About You and Breuninger expect from product photos: formats, backgrounds, model shots, and the details that get a listing rejected.
From the first moodboard to delivered files: the steps of a model shoot, what the brand decides, and what a studio takes off your hands.
What model photography adds that a packshot cannot, and what to expect from a studio that shoots it for e-commerce rather than for a campaign.
Why video keeps shoppers on the product page, answers the questions photos leave open, and shows up in the numbers fashion retailers already watch.
Splitting production between your team and a studio looks cheaper on paper. Six reasons it costs more in practice, seen from inside a production studio.