Sellers submit listings with missing GTINs, wrong category attributes, no images, and descriptions that violate your content policy. Your ops team manually reviews thousands of rejections. The sellers churn. The catalogue quality stays broken.
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Responsible for catalogue quality and seller experience — both damaged by the same listing rejection problem
Processing thousands of listing rejections manually. The same errors, different sellers, every day.
Maintaining attribute requirements per category — but unable to enforce them at the point of seller submission
Fielding complaints from sellers who don't understand why their listings were rejected or how to fix them
The rejection cycle is the same everywhere. Seller submits listing. Missing GTIN. Wrong category. Required attributes absent. Your system rejects it. Seller receives a generic error. Seller doesn't know what's wrong. Seller submits again with the same errors. Your ops team processes the same rejection for the third time this week. The problem isn't your rejection logic — it's that rejection happens after submission, not before.
The catalogue quality problem is downstream of the rejection problem. The listings that do get through — the ones that pass your validation — often pass because they've hit the minimum bar, not because the data is actually good. Short descriptions. Missing secondary images. Generic titles. No structured attributes beyond the minimum required. Your marketplace has thousands of live listings that are technically approved and practically invisible to search.
And the seller churn problem follows the same logic. Sellers who experience repeated rejections, who can't get their products live, who don't understand why — they leave. They sell on a competitor marketplace with a simpler onboarding process. The data quality problem and the seller retention problem are the same problem, one step apart.
Rejection, suppression, and poor catalogue quality are all symptoms of the same root cause: sellers submitting data without guidance or AI assistance at the point of entry.
SKU Launch gives sellers an AI-assisted submission flow that validates against your category requirements in real time. Missing a required attribute? Flagged before submit. Wrong image dimensions? Caught before submit. Description too short? Caught before submit. Your ops team stops processing rejections they shouldn't be seeing.
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Listings that clear the minimum bar often have thin descriptions, missing secondary attributes, and no searchable specs. AI enrichment lifts catalogue quality across all approved listings — not just the ones sellers chose to complete fully.
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Structured attributes across your full catalogue means buyers can filter by voltage, size, certification, and spec — and find what they need. Unstructured data means they scroll and leave.
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When validation happens before submission, sellers get their listings right first time. Time from seller submission to live listing drops from weeks to hours. Sellers stay.
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From seller onboarding to catalogue enrichment — the full data quality stack for marketplace operators.
Seller submission flow with real-time validation and AI pre-fill. Catches problems before they become rejections.
Explore →Define required, recommended, and optional attributes per category. AI builds the schema. You enforce it automatically.
Explore →Completeness scoring and publish gates. Listings that don't meet your standard don't go through — before ops ever sees them.
Explore →AI lifts approved listings beyond minimum quality. Secondary attributes, extended descriptions, structured specs — at catalogue scale.
Explore →Every seller's category and attribute values normalised to your schema. One consistent catalogue, regardless of how many sellers submitted it.
Explore →Descriptions generated from structured attributes. Consistent quality across all listings — not dependent on how much effort each seller put in.
Explore →Product pages that convert. Filters that work. Ranges that go live before the competitor's.
Read more →200 suppliers, one structured catalogue. Trade buyers who can filter by spec. A data pipeline that scales without headcount.
Read more →Seller listings complete, accepted, and ranking. Attribute requirements enforced at the point of seller submission.
Book 30 minutes. We'll show you the seller submission flow with real-time validation — and run a live enrichment pass on a sample of your current listings to show you what quality looks like at catalogue scale.
Product data enrichment that actually gets done — so your product pages convert, your search works, and your team stops living in spreadsheets.
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