How we rescued a 7-figure revenue stream from critical suppression by engineering a scalable data taxonomy.
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.
We treated this as a database integrity problem, not just an "Amazon support" ticket.
Within 6 weeks, catalog stability reached 100%. Review aggregation was restored, boosting conversion rates by 15% immediately.