McLeuker Research · Topic
AI in Fashion
How AI is reshaping fashion across the value chain.
15 articles on McLeuker Research
The Frontier State of AI in Fashion — What Actually Works in 2026
Half the AI tools the fashion industry tried in 2024 didn't survive. Here's what's left, what's working, and what's coming next — from the team building agentic AI for fashion full-time.
AI in Fashion Industry — How Intelligence Beats Intuition (Without Killing It)
Fashion has always run on instinct. AI didn't replace instinct — it gave instinct evidence. Here's what's changing across trend forecasting, sourcing, and brand strategy.
Agentic AI Fashion: Beyond the Chatbot
Most fashion AI is a chatbot with a fashion logo. Agentic AI is different — it plans, acts, and ships deliverables. Here's what that actually looks like in production.
AI Fashion Trend Forecasting — How It Actually Works
Behind the dashboards: what fashion trend analysis AI actually looks like under the hood, why most of it is unreliable, and what separates a real forecast from a pretty visualisation.
Brand Forecasting AI — Where Your Brand Goes Next
AI-driven brand forecasting isn't a crystal ball. It's a structured way to see what's already moving in your competitive landscape — before your strategy meeting catches up.
Sustainable Sourcing With AI — A Practical Field Guide
ESPR is here. CSRD reporting is mandatory. GOTS, OEKO-TEX, BCI, GRS — the certification stack keeps growing. AI sourcing tools that actually help, and the ones that don't.
Why Multi-Model AI Beats Single-Model for Fashion Research
One model can't do everything. The fashion teams getting the most out of AI are the ones running multiple specialised models behind a single interface.
AI Fashion Design Tools — An Honest Assessment of Where We Are
Generative imagery is impressive. Can it run your design studio? Not yet. Here's the actual capability map for AI fashion design tools in 2026 — what works, what doesn't.
Fashion Task Automation — What Actually Saves Time (And What Doesn't)
Fashion task automation platforms promise to compress weeks of work into minutes. Some deliver. Many don't. Here's the workflow-by-workflow breakdown of what works.
SS26 Fashion Week Intelligence — What the AI Caught (And What It Missed)
Our fashion trend analysis AI processed 4,200+ looks across NYFW, LFW, MFW, and PFW for SS26. Here are the silhouette, color, and material signals — with honest notes on confidence.
Tier-2 / Tier-3 Supplier Mapping With AI — A Practical Guide
Mapping your direct suppliers is hard. Mapping their suppliers is harder. Here's what AI can and can't do for tier-2 and tier-3 supply-chain visibility.
Why Fashion Needs Its Own AI Stack (Not Generic Chatbots)
Generic AI sees the web. Fashion-domain AI sees fashion. The difference is everywhere — data sources, prompting, evaluation, output format. Why specialisation is winning.
ESPR and CSRD for Fashion — An AI Survival Guide
ESPR digital product passports. CSRD double-materiality reporting. The compliance load got heavy fast. What AI can do, what it can't, and a practical workflow for both.
AI for Fashion Brands — A Decision-Maker's Checklist
If you're a creative director, brand strategist, or fashion executive evaluating AI tools, here's the practical checklist. What to ask, what to ignore, what to test.
Inside McLeuker AI — How We Build Fashion-Domain Agentic AI
An honest look at how McLeuker AI is built — the agentic architecture, the multi-model routing, the fashion-specific data layer. Written for fashion teams who want to know what's actually under the hood.
Continue browsing