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The POS Software Blog

News from Tower Systems about locally made POS software for specialty local retailers.

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Retailers: What Don’t You Know About Your Shop?

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Most retailers know their business well. They know the busy days, the reliable suppliers, the lines that never let them down. That familiarity is earned and it is useful.

It can also become a trap.

Over time a routine settles in. The same reports are read each week. The same advisers are consulted. The same handful of numbers is checked, and the same conclusions follow. Nothing in that is wrong. The problem is what sits outside the routine, unexamined, because nobody thought to ask.

So here is a better question. Not what should you know about your business, but what don’t you know?

It is a harder question. It is also considerably more profitable.

Consider a recent example. A retailer’s data was reviewed using a different tool and cut in a way it had not been cut before. Nothing new was added. Same transactions, same period, same shop. What emerged were opportunities the owner had not seen, sitting quietly in figures they had looked at many times. Some were easy wins. Others changed how buying decisions were made.

The most important competitor any retailer faces is themselves. Habits of thought are as fixed as habits of trade, and comfortable data is usually the least revealing data.

This is where AI Insights in the Tower Systems POS software earns its place. Rather than exporting reports to a spreadsheet and hunting for patterns late at night, a retailer runs any standard report and clicks AI Insights. The software reads the data and answers in plain English: which margins moved, what stock is dead, what deserves attention this week.

One Victorian newsagency found more than $10,000 in dead stock within minutes of first running it. The stock was cleared and the floor space went back to work.

That figure had been sitting in the data the whole time. Nobody had asked the right question of it.

Most retailers hold years of POS data they never have time to read. Standard reports tell an owner what happened. The value in AI Insights is that it suggests what to do next, in sentences rather than spreadsheets.

Treat surprise as a signal rather than an irritation. Surprise almost always points at something the business did not already understand, and that is where the money is.

Tower Systems builds and supports POS software for specialty retailers across Australia and New Zealand. Locally made. Locally supported.

Younger retailers are done with 20 page reports. Good.

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For years, we measured reporting in our POS software by volume. More reports, more columns, more export options. The unspoken deal was that we would produce the data and you would somehow find the time to read it.

We suspect plenty of those reports were never read. Some of ours included.

The AI analysis now built into our POS software takes a different approach. Run any report, click analyse, and in seconds you get a short plain English summary of what the numbers say and what might be worth doing about it. The stock report that would have taken an hour with a highlighter instead tells you, in a few sentences, that one supplier’s lines have stopped moving and are quietly tying up cash.

Who loves it surprised us

When we started demonstrating this we expected the warmest response from older owners who never liked reports in the first place. Half right. They do like it. The people who love it are gen Y and gen Z retailers and managers.

Makes sense once you think about it. This generation grew up with information arriving insight first. News comes as a three paragraph summary before it comes as an article. A product review is a 60 second video. The detail sits underneath for anyone who wants it, and mostly they only go looking when something has earned their attention.

So an AI summary of a sales report feels normal to them. It behaves the way information is supposed to behave. What feels odd to them is what the rest of us grew up with: 20 pages of tables and the answer buried on page 14.

There is a lazy version of this argument, that young people cannot concentrate any more. We don’t buy it, and the research does not support it either. These same retailers will happily spend two hours deep in the numbers once something has hooked them. What they refuse to do is spend two hours hunting for the thing that deserves the two hours. Fair enough. That hunting was always a job software should have been doing.

The detail has not gone anywhere

The full report still sits under every summary. Drill in whenever you like, and please do. An AI summary you never verify is just a different way of not reading your reports.

What the short format changes is the odds that the data gets used at all. A comprehensive report nobody opens is worth nothing. A three sentence insight read at the counter between customers, and acted on that afternoon, is worth quite a lot.

One retailer told us they now glance at supplier performance weekly, a report they had never once run before, because understanding it takes seconds. That is the pattern we keep hearing. People check their numbers more often, not less, once the effort of understanding them drops.

Want to see it on data like yours? Book an obligation free demo, and bring your most ignored report. In our experience that is where the money is hiding.

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