Catalog Ops Impact

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01
Structured Ingestion

Accuracy starts at entry. Vendor feeds are mapped to field templates (titles, attributes, pricing, images) and validated before anything hits production. Failures are rejected with reasons; exceptions are logged with an owner and a fix-by date.

     • Field templates locked; required/allowed values enforced
     • Pre-ingestion schema + policy checks (GMC rules included)
     • Image requirements validated (size, background, watermark)
     • Exceptions routed to a queue with audit trail

02
Continuous Data Governance

Governance is enforcement, not paperwork. Every change is versioned, diffs are visible, and rollback is defined. Updates pass validation the same way as first-ingest, so taxonomy drift, pricing mismatches, and duplicate SKUs are caught before they ship. Exceptions carry an owner and fix-by date and are reviewed weekly.
     • Versioned changes with diffs; snapshot and rollback on demand.
    • Update-time validation gates (schema + GMC policy) to prevent drift.
    • Drift detectors for taxonomy, price/availability, and duplicates.
    • Exception log with owner, fix-by, and weekly review cadence.

03
Dual-Layer QA

Automation catches what’s systematic; humans catch what’s subtle. Every run applies schema, policy, and media checks; a sampled audit reviews intent, edge cases, and merchandising fit. Fails block publication and fixes are logged with an owner and fix-by date. QA rates are reported weekly.

     • Automated checks each run: schema, policy, image, price/availability.
     • Sampled human audit with rubric and gold set.
     • Disagreement adjudication; feedback loops into templates/macros.
     • Weekly QA metrics: pass rate, issue classes, actions taken.

04
Transparent Feed Health

Feed health is observable. Merchant Center disapprovals, crawl failures, and sync latency are first-class metrics. Each run logs success/error with item-level detail; before/after reports make fixes auditable. Teams act on data, not assumptions.

     • Merchant Center metrics mirrored: disapprovals, limited visibility, crawl errors.
     • Feed-run logs with item-level codes; retries and outcomes tracked.
     • P95/P99 sync latency and failure rate charted weekly.
     • Before/after error reports and change logs shipped on schedule.

Catalog Reliability by Design

Catalog reliability is engineered, not patched. We govern inputs at the source, standardize titles, attributes, pricing, and images, and validate before anything hits production. Merchant Center errors are resolved and then prevented; feeds run on a predictable cadence; dual-layer QA catches drift and duplication. Each week you get before/after error logs and a change log with owners and fix-by dates. The result: policy-safe, searchable catalogs and faster, cleaner changes you can audit.

Step 01

Accuracy at Scale

Standardized field templates and dual-layer QA raise pass rates week over week. Title, attribute, price, and availability mismatches drop and stay within target.
Step 02

Feed Stability

Policy-safe Merchant Center status becomes the norm. Disapprovals decline as rules harden, and each feed run revalidates automatically with item-level logs and visible retries.
Step 03

Update Efficiency

Bulk edits ship in predictable windows. P95 catalog-to-storefront/ads sync meets target, and exception queues replace one-off fixes so teams stop babysitting updates.
Step 04

Visibility Uplift

Structured data and compliant images improve search and ads surfaceability. Fewer policy flags and cleaner attributes mean faster go-live and more consistent coverage across channels.