Automate fashion catalog enrichment and visual perfection
Complete attributes, elevate imagery, and publish garments faster while staying true to every brand’s voice
What is fashion catalog intelligence and how does it work?
Fashion catalog intelligence ingests feeds, PDFs, and photos, fills every size, fit, material, and care gap, upgrades imagery with mood shots and virtual-model renders, and publishes brand-aligned copy, all without touching live listings.
Fashion Catalog Intelligence Results
Garments enriched in 6 h
Image-compliance pass rate
Faster go-live for new SKUs
Why fashion catalog intelligence powers better catalog performance
Fashion catalog automation completes sizes and fits, upgrades visuals with mood-driven images, and writes brand-aligned, SEO-rich copy, turning raw garment data into polished, conversion-ready listings at scale.
Complete size charts
Fills regional sizes, fits, and conversions for friction-free shopping
On-brand visuals
Auto-cleans photos, adds mood shots, and places items on virtual models
SEO-rich copy
Generates titles and bullets that match brand tone and boost search
Pricing intelligence
Maps competitive prices and sentiment so teams fine-tune margins
Faster assortment launch
Turns bulk drops into marketplace-ready listings overnight
Lower content costs
Automation replaces manual photo editing and copywriting overhead
Ready to transform your fashion catalog without adding headcount?
Request a free fashion sample and see the enriched data before you commit
Ecommerce automations by industry
Fashion catalog intelligence ingests feeds, PDFs, and photos, fills every size, fit, material, and care gap, upgrades imagery with mood shots and virtual-model renders, and publishes brand-aligned copy, all without touching live listings.
Fashion Catalog Intelligence
What raw data do we need to provide, and can partial feeds still be processed?
CSV, XLSX, XML, JSON, or API feeds are accepted, even if many fields are blank or inconsistent. You can include look-book PDFs, size charts, and image folders via secure cloud links. The engine parses SKUs, colourways, style codes, and free-text notes, then normalises them against fashion-specific libraries covering fabrics, care symbols, and regional size grids.
How are virtual-model images generated, and how do you ensure they match brand aesthetics?
Product silhouettes are segmented from flat shots, draped onto a physique template that matches the target demographic, and rendered with lighting presets that mimic studio conditions. Brand palettes, backgrounds, and pose guidelines are pulled from the style guide you upload, so the final images stay on-brand while meeting marketplace rules for DPI, aspect ratio, and white-space margins.
Can the platform handle international size conversions (US / UK / EU / JP)?
Yes. A conversion matrix aligns alpha (S-XL) and numeric (2-16, 34-46) systems across men’s, women’s, kids’, and unisex lines. When a “UK 10” arrives, the engine adds equivalent EU, US, and JP values, letting shoppers filter by any regional standard while you maintain a single SKU.
How do you preserve brand voice in generated descriptions while still optimising for SEO?
The copy engine trains on a sample of approved brand messaging to learn tone, phrasing, and banned words. It then layers in high-intent keywords and search-friendly structure (H1-style title, bullet specs, lifestyle hook) without breaking the brand’s cadence. A QA pass checks for compliance with any prohibited claims or restricted vocabulary before export.
What pricing and sentiment intelligence is delivered, and how can merchandising teams use it?
Daily crawls track competitor price points, discount depth, and customer review tone across comparable SKUs. The dashboard surfaces outliers, items priced 20 % above or below the median, and flags sentiment shifts (e.g., fabric-complaint spikes). Merchandisers receive recommended price bands and copy tweaks to defend margin or capture demand.
How long does it take to process a seasonal drop of, say, 100 000 new SKUs?
A 100 K-SKU collection with images completes in 10-12 hours: ingestion (1 h), attribute fill (4 h), image enhancement (3 h), copy generation (2 h), and export/QC (≤2 h). Because tasks run in parallel across cloud nodes, adding more SKUs scales linearly without extending turnaround.
Fashion catalog intelligence
Pricing is based on the volume and complexity of your operations. Get a personalized quote tailored to your product catalog size, automation needs, and platform requirements