Automate fashion shop data enrichment and content creation

Your existing flat shots are cleaned, colour-balanced, and placed on virtual models that match your target shopper, then dropped into lifestyle scenes that echo your brand mood board. Backgrounds, poses, and lighting follow the style rules you provide, so every gallery looks like it came from your own photo studio, only faster and far less expensive than booking another shoot.

Yes. The service builds a smart size chart that links your core size (say, “UK 10”) to the right EU, US, and even JP equivalents, plus common S-XL labels. Shoppers see the size scale they expect, filters work in every region, and you avoid the costly returns that happen when a medium in London turns out to be a large in New York.

The writing engine studies a sample of your current product pages, tone, keywords, and the little phrases that make your voice unique. It then produces fresh titles, bullets, and lifestyle hooks that stay on-brand while weaving in high-intent search terms such as “organic cotton midi dress” or “vegan leather tote.” The result is a copy that feels familiar to loyal customers and ranks higher for new shoppers searching on Google or marketplace search bars.

A daily snapshot compares your prices to rival brands and highlights items sitting too high above, or dangerously below, the market sweet spot. It also scans reviews for warning signs, like a spike in “runs small” comments, so you can tweak price, copy, or imagery before poor sentiment eats into sales. Merchandisers get a clear action list instead of wading through endless reports.

A 100,000-SKU collection typically clears the full pipeline, in ingestion, attribute fill, image polish, brand-tone copy, and export, within about half a day. Because tasks run side-by-side in the cloud, doubling the SKU count adds only proportional hours, not calendar days. That means the garments you approve in the morning can live in your store and marketplaces before the end of the workday.