service · retail analytics

Retail Margin & Pricing
Intelligence Platform

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.
Get a tailored quote See the platform
a look at the platform

The overview, on a real period of data

A demo tenant — Záhrada & Dom s.r.o., a garden & home chain. Every number, product and supplier below is fictional.

what it does

Built for the messy reality of retail data

import

Robust import pipeline

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.
compare

Period snapshots & comparison

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.
batch

Multi-file batches

One period can combine several source files into a single dataset while preserving each source's identity.

Real-world messy inputs, one clean result.
keys

Stable product-code keys

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.
modules

Five analysis modules

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.
export

Export everywhere

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.
secure

Secure by design

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.

From a month-end chore to a living platform

The same data — but parsed, stored as snapshots, and made comparable across the whole year.

before

Manual, by hand, every month

  • Someone collects POS exports and wrestles them in Excel
  • Reports hand-built in Word, slow and error-prone
  • Not comparable over time
  • Knowledge locked in one person's spreadsheet
after

Uploaded once, live forever

  • Exports parsed server-side and stored as period snapshots
  • Live dashboards you can revisit any time
  • Compare any two months on a stable product key
  • One source of truth, secured at the database

Five analysis modules

Purchase prices
Purchase-price changes & € impact
Recommended prices
Margin & pricing recommendations
Receipt items
What actually sells, line by line
Stock turnover
Inventory turnover by supplier
Inventory composition
What the stock is made of
Robust import Two formats, any locale, auto-detected.
Period comparison Snapshots joined on a stable key.
Secure by design Allowlist sign-in, row-level security.
Excel & PDF export Every module, ready to share.
Built with React Vite TypeScript Tailwind shadcn/ui Supabase Postgres Auth Storage Server-side parsing RLS

A finished platform — at a fraction of building one

It's already built, battle-tested on real retail data, and modular — adding a new analysis is a local change, not a rebuild. You get a finished, secure, multi-module analytics platform on your own custom domain in a fraction of the time and cost of commissioning one from scratch or paying a BI consultancy monthly.

  • Already built & proven on live retail data.
  • Modular — new analyses are added, not rebuilt.
  • Your own domain, your own secured tenant.
  • Live in a fraction of a from-scratch build.

Want this for your shop?

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.

Email nfttobias@gmail.com More See selected work