Your POS is a research department you already paid for

A point-of-sale system is bought to take payments and ends up doing exactly that: taking payments. Which is a waste, because the transaction log it quietly accumulates is the most honest dataset your business will ever own. Nobody exaggerates to a till.

Questions your till can already answer

When does money actually arrive? Not "we're busy at lunch" — the actual revenue curve by hour and day, which almost never matches the rota built from folklore.

What sells together? The products that share baskets are telling you how customers think about your shop. The classic finding is a cheap item that appears in a surprising share of high-value baskets — a product that looks minor on its own sales line and is actually load-bearing.

What is the real price response? Every price you have ever changed is a natural experiment sitting in the log: units before, units after. Most owners have run dozens of pricing experiments without ever reading the results.

Which hours lose money? Revenue per open hour, against staffing cost per open hour. Some opening hours exist for customers; some exist out of habit.

Why nobody does this

Not laziness — format. The data sits in a system built for payments, exportable as a spreadsheet nobody has three spare hours to interrogate. The insight is real, but the extraction cost is high, so it stays theoretical. That extraction is precisely the job we built Kauzio to do: it reads the sales data you already generate and turns it into the specific, current answers — this product pairing, this dead hour, this price response — without the spreadsheet archaeology. We wrote about what that looks like across a large dataset in What we learned from analysing 100 GB of small-retailer sales data.

Your till has been running the study for years. The fieldwork is done. All that is missing is reading the findings.