Old price list
old-price-list.csv
| SKU | Product | Price |
|---|---|---|
| A-100 | Sample item A | €12.50 |
| B-200 | Sample item B | €8.90 |
| D-400 | Sample item D | €4.75 |
| E-500 | Sample item E | €15.10 |
| G-700 | Sample item G | €20.00 |
Price List Compare
Find every increase, decrease, new and removed SKU without comparing rows by hand.
Larger files need Pro. Failed jobs are never counted.
Catch price increases, decreases, new products and removed products across an old and a new CSV or Excel list, then create an export your team can review.
THREE CLEAR STEPS
Limits and supported formats are visible before you begin.
Check the preview, findings or artwork before you download.
Use your free job, plan or credits. Failed jobs are never counted.
Interactive product sample
Use the prepared old and new lists below. The same comparison logic separates price changes, new products and removed products.
old-price-list.csv
| SKU | Product | Price |
|---|---|---|
| A-100 | Sample item A | €12.50 |
| B-200 | Sample item B | €8.90 |
| D-400 | Sample item D | €4.75 |
| E-500 | Sample item E | €15.10 |
| G-700 | Sample item G | €20.00 |
new-price-list.csv
| SKU | Product | Price |
|---|---|---|
| A-100 | Sample item A | €13.20 |
| B-200 | Sample item B | €8.10 |
| C-300 | Sample item C | €6.40 |
| E-500 | Sample item E | €16.20 |
| G-700 | Sample item G | €20.00 |
Comparison complete
| SKU | Product | Status | Old | New | Change |
|---|
No rows match this filter.
How it works
It is not a cell-by-cell Excel diff, a web price crawler, a multi-supplier best-price engine or a formula and formatting comparison. It compares one old and one new list using the columns you select.
Built around a real purchasing task
Use it when a supplier sends an updated CSV or Excel price list and your team needs a clear exception report before catalogue or purchasing data changes.
Review increases and reductions before approving new costs.
Catch new and removed SKUs before product records are updated.
Turn recurring supplier files into a consistent review process.
Check supplier changes before storefront prices or ranges change.
Simple access
Questions before comparing
Straight answers about matching, supported files, boundaries and the current launch status.
The tested workflow supports CSV and XLSX files up to 10 MB per file and 100,000 data rows per file. For Excel workbooks, you choose one usable worksheet from each file.
You select one SKU or item-number column in each file. Values are matched exactly and case-sensitively after outer spaces are trimmed, so row order can change without hiding the same SKU.
Common German and English formats such as 1.234,56, 1,234.56 and 1234.56 are accepted and rounded commercially to two decimal places. Dates, percentages, negative prices and ambiguous text become review warnings instead of guessed prices.
The report separates increased, decreased, unchanged, new and removed items. It keeps old price, new price, absolute difference and percentage change together for review.
The first valid occurrence of a duplicate SKU is used and a review warning is created. Missing SKUs and invalid prices are reported instead of being silently treated as valid changes.
Download access ends exactly seven days after the result is created. The generated files are physically removed in the next cleanup cycle, which runs at least every five minutes.
No. It does not compare formulas, formatting, VBA or every cell. It compares one old and one new supplier list using the SKU and price columns you select.
Yes. Upload both files and use 3 free jobs a day without an account, or up to 200 a day with Pro. The prepared example remains free without an account.
Inspect the method
See the exact report structure or prepare supplier data before a comparison.
Exact sample output
Inspect matching source rows and download the current XLSX and changes-only CSV structure.
Open example →Excel workflow
Understand XLOOKUP, Power Query and the checks that remain manual.
Read guide →Purchasing
Separate changes and document commercial exceptions before approval.
Read guide →Data quality
Protect leading zeros and resolve duplicate identifiers before matching.
Read guide →Preview before upload
Run the prepared data in your browser or inspect the downloadable report structure. No account and no customer data are required.