Structured product master data
Align SKUs, attributes, variants, prices, inventory, and media fields.
Open ↗PRODUCT LISTING AGENT
Turn raw supplier material into reviewable multilingual product listings
Normalize images, specifications, and raw copy into product fields, variants, localized titles, benefits, tags, and validation warnings before an operator approves publication.
Try the interactive demoSEE THE WORK, NOT A CLAIM
Try a guided task with visible evidence and review.
Messy source material, missing fields, and channel-specific rules turn every launch into repetitive cleanup, translation, and rework.
Open interactive demo- Input
- Shopify · AERA-H1-BLK
- Workflow
- Read source files and images → Normalize attributes and variants → Generate channel-ready localized copy
- Human boundary
- Never invents specifications, certifications, or inventory; missing data is flagged and publishing requires approval.
WHO THIS FITS
A useful engagement starts with the right problem.
Frequent SKU launches
New models, colors, sizes, and market editions arrive every week.
Multiple commerce channels
Shopify and marketplaces require different fields, limits, and wording.
Fragmented supplier input
Spreadsheets, PDFs, chats, and filenames lack one standard.
THE CURRENT GAP
What has to change before technology creates value.
Repeated field transfer
Operators move the same facts between spreadsheets, admin screens, and translation tools.
Missing data appears late
Material, size, certification, and variant gaps trigger rework at publication.
Localization drifts
Terminology, tone, and specifications vary by translator and channel.
DELIVERY PROCESS
A controlled path from evidence to a running system.
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01 / Read source files and images
Produces a visible, reviewable state before the next step.
Input · evidence · state -
02 / Normalize attributes and variants
Produces a visible, reviewable state before the next step.
Input · evidence · state -
03 / Generate channel-ready localized copy
Produces a visible, reviewable state before the next step.
Input · evidence · state -
04 / Check missing fields, conflicts, and restricted claims
Produces a visible, reviewable state before the next step.
Input · evidence · state -
05 / Send to an operator for final review
Produces a visible, reviewable state before the next step.
Input · evidence · state
ACCEPTANCE
Define success before expanding scope.
Complete fields
Required data and variant relationships match the agreed schema.
Consistent facts
Every claim and specification traces back to source material.
Traceable review
Warnings, edits, approver, and final version remain recorded.
BOUNDARIES
What this engagement does and does not promise.
No guessed specifications
Unknown source fields remain missing and enter a completion list.
No fabricated compliance claims
Materials, tests, certifications, and benefits need real evidence.
No unapproved publishing
Listings, price changes, and stock writes require operator review.
FAQ
Questions teams ask before starting.
Can it read supplier spreadsheets and PDFs?
Yes after mapping fields and checking extraction quality for scans and complex tables.
Does it support Shopify variants?
Yes. The model organizes options, variants, SKUs, prices, and inventory before the live API phase.
Can it generate several languages at once?
Yes, with terminology, tone, and length checks applied independently to each language.
