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Case Study

Amazon Catalog Stabilization

How we rescued a 7-figure revenue stream from critical suppression by engineering a scalable data taxonomy.

Service Marketplaces Ops
Industry Consumer Retail
Duration 6 Weeks
Impact $150k+/mo Restored

The Challenge

A global retailer approached us with a specialized catalog of 500+ SKUs. Due to legacy data mismanagement and aggressive scraping by competitors, their variation listings (parent-child relationships) were "breaking" daily.

This resulted in "Search Suppressed" buy boxes, scattered reviews (instead of aggregated ones), and a confusing customer experience. Revenue was down 40% month-over-month.

The Solution

We treated this as a database integrity problem, not just an "Amazon support" ticket.

  • Full Catalog Audit: Extracted raw Category Listing Reports (CLR) to identify the root cause ofattribute mismatches.
  • Flat File Re-Architecture: Built a master "Source of Truth" flat file structure, standardizing variation themes (e.g., SizeName-ColorName) across the entire brand.
  • Force-Update Propagation: Utilized partialUpdate feeds to surgically repair broken ASIN nodes without triggering total re-verification.

The Result

Within 6 weeks, catalog stability reached 100%. Review aggregation was restored, boosting conversion rates by 15% immediately.

0%
Suppression Rate
350+
ASINs Stabilized

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