Fashion task automation, done in a real browser.
McLeuker AI is the fashion task automation platform that finishes the work — multi-retailer price compares, resale listings, product-spec scraping, completed checkouts. Real browser session, real proof, gated on every irreversible click.
Why this matters
“AI fashion tools usually stop at the research summary. McLeuker AI is the fashion task automation platform that picks up where research ends — and finishes the task in a real browser, on a real retailer, with real proof.”
What you get
Capabilities, not features.
Multi-retailer commerce
Recipes for Net-a-Porter, Farfetch, MyTheresa, SSENSE, 24S, Allbirds, Zara, COS, Uniqlo and more — selectors, cart flows, checkout patterns drilled per site.
Luxury marketplace ops
Price-compare, add-to-bag, checkout-to-confirmation across luxury marketplaces. Multi-region, multi-currency, multi-shipping.
Parallel multi-tab work
Open N retailers concurrently, extract product data from each, return one comparison table — under one prompt, no manual tab management.
Confirm-action gates
Every cart-modify, order-submit, payment, or publish requires explicit user approval before firing. Irreversibility is treated as a contract.
Visual proof of completion
Order numbers, 'added to bag' toasts, published listing URLs — captured as deliverable proof, not just claimed in text.
Resale & social listings
Depop, Poshmark, Vestiaire Collective, Instagram. Pre-cached auth via session persistence, full upload-photo / fill-fields / publish flow.
How it works
Three steps. No setup.
Restate the outcome
"Cart contains the item" or "screenshot of confirmation". The agent restates what done looks like before any click fires.
Execute, gated where it matters
Reads run in parallel. Writes go one at a time so observations gate the next step. Anything irreversible pauses for explicit confirmation.
Proof shipped back
Order number, listing URL, screenshot of the toast, exported CSV — captured as deliverable proof of what was actually completed.
What you can ask
Real prompts. Real outcomes.
You ask
“Compare the Bottega Cassette across Farfetch, Net-a-Porter, MyTheresa, SSENSE and 24S”
We deliver
Live price-comparison table with stock, ship-to-region, lead time, and total-landed-cost — under one tool call, parallel browser fetch.
You ask
“List my vintage Levi's 501 W30 L32 on Depop with this photo at $65”
We deliver
Live Depop listing with the photo uploaded, title and description filled, category set, and a screenshot of the published URL captured as proof.
You ask
“Scrape product specs for our 30 competitor SKUs and export as CSV”
We deliver
Multi-retailer extraction across 30 product URLs — name, price, sizes, colours, materials, stock — exported as a structured CSV ready for analysis.
Who builds with us
For fashion professionals. Period.
E-commerce operators
Daily competitor pricing audits without a daily human in the loop
Resale operators
Multi-platform listing automation across Depop / Poshmark / Vestiaire
Wholesale buyers
Wholesale vs retail price comparison across luxury marketplaces
Retail intelligence
SKU availability tracking, stockout monitoring, price-drop alerts
Fashion-tech founders
Prototype commerce automation without writing a single scraper
Brand teams
Catalog work, product-spec audits, listing automation at scale
Get started
Try Task Automation
Tell us what to finish. We'll drive the browser. You get the proof.