01
Catalog cleanup
Normalize product names, SKUs, categories, variants and formatting. Detect duplicates and document changes.
E-commerce data operations
Messy catalog? We'll make it usable.
CatalogRescue cleans product data, supplier files and e-commerce exports for Shopify agencies, store owners and e-commerce teams — with human review and a clear QA trail.
✓ Human-reviewed✓ No invented facts✓ Small trial first
catalogrescue.com / typical-job
A client has a messy product sales sheet.
Realistic example — not a real client.
messy_sales.xlsxsource
ProductSKUCategoryPrice
Black T shirtTS001shirts12.99
BLACK TEETS-001Shirts12.99
Blue HoodieHOD22hoodies29.90
Travel BottleTB-08Drinkware—
The file arrives.
We acknowledge the intake before work begins.
XLSX
messy_sales.xlsx
1,000 rows · uploaded by client
1,000 rows · uploaded by client
✓ File received · review starting
We clean + QA.
Repeatable problems are corrected; uncertain facts are flagged.
Finding issues…0%
Fix SKU formatsRemove duplicatesStandardize categoriesClean product namesRun final QA
⚠ Client input: one price + one category need confirmation.
The clean result is returned.
The client gets usable files and knows what still needs their answer.
XLSX
clean_sales_catalog.xlsxstructured + cleaned
QA
QA_report.xlsxchanges documented
Q?
open_questions.xlsxclient confirmations
✓ Client opens the cleaned catalog
Animated visual representation of the workflow
Who this is for
Built around real e-commerce teams.
We are not trying to replace your store, agency or developer. We take the repetitive catalog work off your plate so the people you already pay for can focus on the higher-value work.
Shopify agencies
Overflow catalog cleanup, migration preparation and white-label support.
E-commerce teams
Large catalogs, supplier exports, bulk updates and recurring cleanup.
Store owners
Get the boring spreadsheet work done without spending your weekend in Excel.
Common headaches
Small data problems become big store problems.
CatalogRescue focuses on the unglamorous issues that create duplicate listings, broken imports, confusing variants and unnecessary manual work.
SKUsTS001 vs TS-001
CategoriesShirts / shirts / T-Shirts
DuplicatesSame product twice
VariantsInconsistent options
Missing fieldsNo price / SKU / etc.
Supplier filesPDFs + spreadsheets
Services
Useful work. Clear deliverables.
Each service is narrow enough to understand quickly and broad enough to solve a real catalog problem.
02
Supplier → catalog
Turn supplier spreadsheets, PDFs and product lists into structured files your store or operations team can use.
03
Catalog audits
Start with an issue report: missing fields, duplicates, inconsistencies and records that need human input.
Our work
Don't take our word for it. Inspect the demo.
This Northlane Apparel project is simulated, but the workbook and transformation logic are real. We show the work instead of inventing testimonials.
DEMO PROJECT · NORTHLANE APPAREL
From messy source data to a clean working dataset.
100 source records → 83 unique records after verified deduplication.
17duplicates
52review items
SOURCE · MESSY SALES DATA
product_catalog.xlsxsource
ProductSKUCategoryPrice
Black T shirtTS001shirts12.99
BLACK TEETS-001Shirts12.99
Blue HoodieHOD22hoodies29.90
Travel BottleTB-08Drinkware—
WHAT WE FOUND
⚠ Duplicate / inconsistent SKUs
⚠ Category naming drift
⚠ Missing prices
⚠ Missing descriptions / fields
OPEN QUESTIONS
Travel BottleWhat is the correct selling price?Needed
Cotton TeeWhich category should we use?Needed
WHY WE ASK
We can safely normalize “blk” to “Black.” We cannot know your selling price. Unknown business facts stay open until the client confirms them.
WHAT WE FIXED
TS001→TS-001
shirts / T-Shirts→T-Shirts
blk / Black→Black
duplicate record→consolidated
$12 / USD 12 / 12.00→$12.00
RESULT
83unique records
17duplicates consolidated
52records needing review
0invented facts
Why us
Human judgment where it matters.
We use automation internally when it helps, but the client receives a human-reviewed result. The goal is reliable cleanup, not impressive automation theater.
No guessing
Missing or ambiguous business facts are flagged instead of filled in.
Visible QA
We show what changed, what was consolidated and what needs review.
Basic
Test a small batch before trusting us with the entire catalog.
Easy handoff
Files are structured for the next step in your workflow.
How it works
From messy files to a usable result.
A job moves through four simple stages. The panel below shows what is happening at each point instead of making you decode a decorative timeline.
STEP 1 OF 4Send your files
25%job progress
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01
Send your files
Send CSV, Excel, exports, supplier files or product lists. We start from whatever state your data is actually in.
InputCSV · Excel · PDF
XLSX
products.xlsx1,000 rows
CSV
supplier_list.csv1.1 MB
PDF
catalog_notes.pdf3.8 MB
For agencies
Your developers shouldn't have to clean 4,000 rows.
Use CatalogRescue as overflow catalog/data support while your team stays focused on the build, strategy and client relationship.
Keep the client. Offload the boring work.
We can work behind the scenes on catalog cleanup, migration preparation, supplier data and QA.
White-label friendly
Migration prep
Bulk cleanup
QA + issue trails
Why agencies are interesting to us
One good agency relationship can turn a one-off catalog job into repeated work across multiple client projects.
Discuss agency supportStarting points
Start with a free check, then choose the level that fits.
Introductory pricing while we're building our first client relationships. Larger catalogs are quoted after review.
FREE CHECK20–30 products / fields
Request the free checkSend us a small sample. We’ll clean it so you can judge the quality before paying for a larger job.
BASIC
Basic cleanup
$15
For a small paid catalog-cleanup job.
- Up to ~50 products
- Cleanup + standardization
- Basic QA summary
- Questions flagged
CATALOG CLEANUP
Standard cleanup
$49
For a larger catalog after the free check.
- 100–500+ products
- SKU/category/variant cleanup
- Duplicate detection
- QA report
LARGE / AGENCY
Custom
Quoted
For migrations, ongoing work and agency batches.
- Large catalogs
- Supplier conversions
- Recurring support
- White-label options
Get a free data check
Send us a small sample of the mess.
We'll review up to 20–30 products or fields for free and show you what can be cleaned safely, what needs your input, and what a larger job would look like.
Free check: maximum 20–30 products or fields.
File safety: Please upload only a small, non-sensitive sample. Never send customer personal data, passwords, payment information, or confidential records through this public form.