A self-serve analytics platform that turns messy POS/ERP exports into clean, comparable monthly insights about purchase prices, margins, sales and stock — so retailers stop doing month-end analysis by hand.
Enterprise-grade analytics without the enterprise build bill.A demo tenant — Záhrada & Dom s.r.o., a garden & home chain. Every number, product and supplier below is fictional.
| Product | Δ cost | Impact |
|---|---|---|
| NatureGrow hadica 20m SUP-1042 |
+17.9% | +€1,860 |
| TerraPlus substrát 50L SUP-2087 |
+16.7% | +€1,240 |
| AquaFlex postrekovač SUP-3310 |
+7.3% | +€880 |
| GreenLine sekera 1,2kg SUP-4501 |
−6.4% | −€520 |
Handles two real-world export formats automatically — tab-separated Windows-1250 text and true XLSX — detecting the format by content, not extension. Fixes locale (comma decimals, space thousands), encoding and dirty number formatting.
Upload whatever the POS spits out — it just works.Every upload becomes an immutable snapshot of a period; any two periods can be joined and compared on a stable product key.
See exactly what changed month-over-month.One period can combine several source files into a single dataset while preserving each source's identity.
Real-world messy inputs, one clean result.Analysis always joins on product code, never on names (names drift), with a master product table normalizing names.
Trustworthy comparisons even when product names change.Purchase-price changes (with the € impact quantified), recommended retail prices, receipt line-item analysis, stock turnover by supplier, and inventory composition.
Five lenses on the same trustworthy data.Every module exports to Excel and PDF — ready to share, archive, or drop into a board pack.
The report leaves the platform in the format you already use.Google sign-in with a database allowlist (no open signup), row-level security on every table, hosted on a custom domain.
Only invited people see the data; access is enforced at the database.The same data — but parsed, stored as snapshots, and made comparable across the whole year.
Five analysis modules
case study · deployment 01
A brick-and-mortar retailer whose month-end analysis lived in one person's spreadsheet. Their monthly reporting now runs on this platform.
Every month, POS exports were collected by hand and wrestled into Excel and Word reports — hours of repetitive work, easy to get wrong, impossible to compare across months.
Server-side import of raw POS exports, five analysis modules, period comparison on a stable product key, Excel & PDF export — secured sign-in for the whole team.
New stock arrives or a sales export lands? He uploads the file — seconds later every analysis is live and filterable, and the whole review fits into a short weekly check. Every analysis is stored in the database, so he can compare days, months and years side by side — the longer it runs, the more it's worth.
Built to run for 12+ months: the system keeps itself updated, and the monthly fee covers monitoring, improvements and new analysis types on request.
Every retailer analyses a little differently — so the platform isn't handed over as-is. The foundation is proven; the analyses are built around you.
Send a POS or ERP export and tell me what you analyse by hand today. I reply within a day with a tailored quote.
On the proven core — import, period snapshots, security — I build the modules, metrics and views around how you actually work. No two deployments are the same.
Live on your own domain, in your own secured tenant. The monthly fee covers monitoring, improvements and new analysis types on request.
Tell me your POS/ERP and what you analyse by hand today — I'll map it to the platform and come back with a tailored quote. I reply within a day.