Catalog Sprint
€249
Up to 250 products
✓Audit + mapping
✓Cleanup + normalization
✓Import-ready CSV/XLSX
✓Exception report
AI OPS / 01 · Catalog cleanup · enrichment · migration
Turn a messy product catalog into import-ready ecommerce data.
CMake Studio cleans, normalizes and enriches product catalogs for Shopify, WooCommerce, marketplaces and custom stores. Send CSV, XLSX, XML or an existing export; receive structured product data ready for import and review.
FAST START
A fixed-scope first batch can start immediately. No long consulting engagement required.
Payment is handled through PayPal after scope confirmation so the transaction and invoice trail stay with the buyer and CMake Studio.
WHO IT FITS
A narrow problem with a measurable before and after.
01
Stores with hundreds or thousands of inconsistent product rows
02
Distributors importing supplier catalogs into ecommerce systems
03
Teams missing descriptions, attributes, brands, categories or clean titles
04
Businesses migrating between ecommerce platforms or rebuilding product data
PACKAGES
Buy a concrete first outcome instead of an open-ended AI project.
These are launch prices for tightly scoped work. If the input is materially larger or more complex, the exact scope is confirmed before any payment request is sent.
Catalog Build
€749
Up to 1,500 products
✓Everything in Sprint
✓Attribute enrichment
✓Category normalization
✓Priority processing
Catalog Pipeline
From €1,500
Recurring supplier feeds / large catalogs
✓Reusable ingestion pipeline
✓Repeatable normalization rules
✓Incremental updates
✓Custom destination schema
DELIVERY
The useful output is defined before the automation starts.
AI is used where it improves throughput, but deterministic validation and explicit exceptions stay part of the workflow.
01Column mapping and data-quality audit
02Title and description cleanup
03Brand / category normalization
04Duplicate and malformed row detection
05Attribute and specification normalization
06Image URL validation where supplied or permitted
07Import-ready CSV/XLSX output
08Exception list for uncertain products
PROCESS
Fast is useful only when the handoff is still reliable.
Send the source
Upload or share the catalog export plus the destination platform or required schema.
We normalize
Automation cleans the data, standardizes fields and flags ambiguous rows instead of silently guessing.
We enrich
Where the source data and rights allow it, missing structured fields are generated or mapped from reliable references.
You receive import-ready data
The final output includes the cleaned catalog plus a clear exception file for anything requiring review.
FAQ
Before you send the first file or call flow.
01Do you scrape product data from anywhere on the internet?+
No. Enrichment is based on data you provide, licensed or publicly reusable sources, manufacturer references where appropriate, and generated copy where that is suitable. We do not promise unauthorized extraction from protected sources.
02Can you work with Shopify or WooCommerce exports?+
Yes. CSV/XLSX exports from common ecommerce systems are a strong starting point, and custom schemas can be mapped as well.
03What happens when a product match is uncertain?+
It is flagged. The workflow is designed to avoid silently attaching the wrong specification or image to a product.
04Can this become an ongoing monthly process?+
Yes. After the first batch proves the rules, the same logic can be turned into a recurring supplier-feed pipeline.
Ready to test it on real work?