Price increases & decreases
With the € and % impact per item, sorted biggest first — so you see the moves that matter before they reach your margin.
Supplier price-list audit
Caught before it costs you.
Old and new lists in. One clean Excel report out: every price move, new and removed item, duplicate, unit change and data error — with the € impact.
Built by an ERP data-integrity developer
A silent 12% increase. A changed unit. A duplicate. A new or discontinued item. Miss one and it quietly eats your margin.
What you get
With the € and % impact per item, sorted biggest first — so you see the moves that matter before they reach your margin.
What the supplier quietly added, and what disappeared from the list — each in its own tab, never buried in the noise.
The same ID twice, or a unit/packaging swap that silently breaks your costing — both flagged with the old and new value.
Blank, zero, negative or non-numeric prices and missing IDs — caught here instead of in your ERP, billing and sell prices.
Total € impact, the biggest movers and every count on one page — the whole audit at a glance before you open a single tab.
Anything genuinely unclear — like an ambiguous number format — comes with the exact question to send the supplier, not a silent assumption.
How it works
Your previous and new price list, as Excel or CSV. Just tell me which columns hold the item number, price and unit — messy headers are fine.
Python compares every row. No AI, no guesswork: the same two files always produce the same report, every run.
Every change and error in a styled workbook with a Summary sheet — back in your inbox in 1–2 business days.
Why Proculytics
The edge is deterministic tooling that handles real-world files most scripts choke on — backed by four years building ERP data integrity.
Plain, reproducible code. The same files give the same result every time — nothing is skipped and nothing is invented.
Any column names, European and US number formats, currency symbols, thousands separators, CSV and Excel mixed together.
Built for DACH suppliers — fluent in German, DIN article numbers and a shared timezone, not one foreign freelancer in a queue.
Catching exactly these errors before they reach billing and sell prices is the job I've done for four years.
Is 1.500 fifteen hundred, or one-point-five?
When the data can't settle a number format on its own, it isn't guessed. The report flags the column with the exact question to send your supplier — and shows the assumed reading meanwhile, so your comparison is still complete.
Sample report
The exact exception report a client receives — illustrative data from a fictional German industrial-supplies wholesaler.
Pricing
All paid work runs through Fiverr, which handles payment, invoicing and buyer protection.
$195
Old-vs-new comparison, up to ~500 items. Clean Excel report of every change, plus the Summary sheet.
$395
Up to ~2,000 items, or an invoice-vs-contract overcharge check. Full exception report + impact summary.
$795
5,000+ items or multiple files. Full report with recommendations and priority turnaround.
Prices are held flat — a free sample on a small, anonymised slice of your own files comes first, so you see the result before you pay.
FAQ
Your previous price list and the new one, as Excel or CSV. Just tell me which columns hold the item number, price and unit. If you have agreed or contract prices, send those too and I'll also check for overcharges.
That's fine. With one file I run anomaly checks instead: duplicates, unit inconsistencies, blank or invalid prices, and other data errors. The full old-vs-new change report needs both files, so send the previous version if you can find it.
Excel or CSV is best, and the PDF is usually just a printout of a file you already have, so check for that first. If the data only exists as a PDF, I can extract the table for an added fee, since it's extra work.
The comparison runs on deterministic code, not guesswork, so the same files always produce the same result and nothing is skipped. Anything genuinely ambiguous, like an unclear number format, is flagged for you to confirm rather than silently assumed.
Yes. Comma and dot decimals, thousands separators, currency symbols, any column names, and CSV and Excel mixed together. Messy real-world files are the norm, not a problem.
For the free sample I work on a small, anonymised slice of your files, delete them afterward and store nothing. The paid audit is handled the same way — your data is used only to produce your report.
Typical turnaround 1–2 business days. A free sample on a slice of your own data comes first — see the result before you pay.