Broken product links
Surface product URLs that no longer lead to a working listing.
Listing checks for fashion e-commerce
Find the mismatch, down to the variant.
SkeinSignal compares fashion product pages with the catalog you expect. It checks product links, size availability, price, and inventory, then puts discrepancies in a review queue.
Your team reviews each issue. Approved corrections are exported as CSV.
A closer look
One listing, many variants
01 The details
One product can hide a lot of small discrepancies.
Check at the SKU and variant level, where a broken path or a single size's price can be easy to miss in a wide catalog.
Size and availability gaps
Compare variant availability against the sizes your catalog says should be there.
Price and inventory drift
Compare observed product details with expected values across SKUs and variants.
02 The workflow
From expected catalog to approved CSV.
SkeinSignal helps your team find and review differences. People decide what to approve; the product does not write changes back to your store.
- 01
Import expected variants
Bring SKU, variant, price, and inventory expectations in a CSV.
- 02
Scan product pages
Compare saved product pages with the catalog; saved pages can be rescanned daily.
- 03
Review each issue
Mark issues pending, approved, or rejected in your review queue.
- 04
Export approved corrections
Download approved corrections as a CSV for your team's next step.
03 An example
A mismatch, ready for review.
Listing health is read at the variant level. Here's one illustrative price difference and the details a team member can review.
Illustrative sample — not a live scan
A price mismatch to review
For fashion store teams — not shoppers. These values are not a real merchant listing.
- SKU
- COAT-01
- Variant
- Small / Navy
- Expected price
- $84.25 USD
- Observed listing price
- $84.00 USD
Pending review
A team member can approve or reject an issue after comparing the expected and observed values. This static example opens the review queue for your own scans.
For fashion e-commerce teams
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