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Shopify Catalog QA Automation Demo | Miraiyo

SHOPIFY ENGINEERING · CATALOG QUALITY

Cleaner Shopify catalogs. Fewer costly mistakes.

This Shopify catalog quality assurance demo shows how to flag duplicate SKUs, invalid prices, currency issues and stock errors before product records move to human review.

SYNTHETIC DEMO · NO CLIENT DATA · NO LIVE SHOPIFY CONNECTION

Reproducible test results

Real code. Fictional products. Clearly stated limits.

We executed a local Python demonstration against twelve made-up product records. The program produced a JSON audit report, identified validation failures, and prepared acceptable records for human review. It does not publish products or connect to Shopify.

12
Synthetic rows audited
7
Rows rejected for validation errors
5
Rows queued for human review
12/12
Local automated tests passed

Additionally, two rows triggered image warnings. Shopify API calls: 0. Live products updated: 0. These numbers describe only the supplied synthetic demonstration, not a client implementation.

Example workflow

How Shopify catalog QA works: from product data to review.

01 · Ingest

Load product data from a local JSON file. Supplier feed/API ingestion is a proposed future integration, not part of this demo.

02 · Validate

Normalise and check SKU, title, positive price, currency and inventory. Flag missing or non-HTTPS image URLs.

03 · Review

Separate rejected rows from the human-approval queue. Preserve reasons for every rejection.

04 · Integrate later

Connect to a merchant-authorised Shopify development store only after scope, access, rollback and variant-handling tests.

Illustrative audit records

What the validator actually found

Sample SKUIssueResult
TEE-001Valid synthetic recordReview queue
tee-001Duplicate SKU (case-insensitive check)Rejected
CAP-003Price is zeroRejected
BAG-004Negative inventoryRejected
SOCK-005Missing product imageReview + warning

All examples use fictional records. The missing-image check generates a warning; it does not automatically reject an otherwise valid product.

Evidence and limitations

What this proves—and what still needs testing.

Verified locally

  • Repeatable validation of the bundled synthetic product records.
  • Human-approval statuses, error reasons and a generated JSON report.
  • Twelve local automated tests for normal and invalid inputs.
  • No store credentials, external API calls or live product changes.

Not yet verified

  • Shopify OAuth and merchant approval, live GraphQL requests or product writes.
  • Supplier ERP integrations, handling of large production datasets, deployment or operational uptime.
  • Any customer cost savings, revenue growth, delivery speed or production-scale accuracy.

python catalog_audit.py python -m unittest -v test_catalog_audit.py# Local test output: Ran 12 tests — OK # Store changes: 0 # Shopify API calls: 0

The runnable source code, sample data, generated report and test log are available for review with Miraiyo. A live Shopify integration requires a separate, merchant-authorised technical pilot, including test-store access and rollback planning. Shopify documents the GraphQL Admin API productSet mutation for external product-data synchronisation. This demo does not make that API call.

Shopify catalog QA questions

Frequently asked questions

What does Shopify catalog QA check?

In this demonstration, the validator checks for duplicate SKUs, missing titles, non-positive prices, unsupported currency values and invalid inventory. Missing or non-HTTPS product image URLs are reported as warnings for review.

Does this demo change products in a Shopify store?

No. It uses synthetic product records locally, makes no Shopify API requests and performs no store writes. A real integration requires store-owner authorisation, mapping, testing and a separate implementation scope.

Is this a client case study?

No. This is a reproducible engineering demonstration, not evidence of work completed for a client or a claim of revenue growth, saved hours or production reliability.

Next step

Have a catalog problem worth testing?

We can discuss a tightly scoped paid discovery project, confirm data access and acceptance criteria, and plan a safe pilot before anyone changes your live store.

Technical demonstration built with AI-assisted engineering and local automated tests. No involvement of confidential Miraiyo engineers or past client work is implied. Explore our Shopify and WooCommerce development services or other Miraiyo services.

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