1
Connect catalog evidence
Shopify provides product, variant, price, image, and inventory context. Google Merchant Center issue data adds provider-side diagnostics when it is connected.
Product Catalog Optimization
Make product feeds safe enough to spend behind.
Metric Hive turns catalog data, inventory evidence, destination diagnostics, and semantic product tables into feed readiness checks, priority issue groups, preview rows, and safe exports. The first version is built around Google Shopping diagnostics and export-ready product data without mutating Merchant Center.
2
Score feed readiness
The backend checks destination requirements, product identity, freshness, missing fields, provider issues, inventory risk, and export policy before a row is considered usable.
3
Stage safe outputs
Teams get issue groups, deterministic recommendations, trust receipts, feed previews, CSV downloads, and modeled exports while external platform publishing stays disabled in v1.
What teams can decide
Product Catalog Optimization is a feed intelligence layer, not a PIM replacement. It helps teams understand which products are ready for paid shopping channels, which products are blocked, and what evidence explains the decision.
Fix the highest-impact problems firstPriority issue groups combine severity, affected products, blockers, warnings, and available business evidence instead of mirroring raw diagnostics.
Stop advertising unsafe productsDisapprovals, missing required fields, stale catalog records, out-of-stock products, and low-margin products can be flagged before they reach a feed export.
Preview before anything changesBefore-and-after row previews show source values, normalized export values, blocked rows, warnings, and missing fields without changing Shopify or Merchant Center.
Give data teams modeled feed evidenceAllowlisted Product Feed exports expose readiness snapshots, issue history, variant scores, and destination export evidence for warehouse and BI workflows.