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Sales and margin against last week, by department
The core of every weekly pack, live instead of assembled.
The weekly numbers your area manager and head office ask for already sit in your POS. This workflow gets them out in seconds, in plain language, instead of hours in a spreadsheet.
Most stores rebuild the same report every week. Sales by department, margin against last week, the lines that moved and the lines that did not. The numbers change; the hours spent assembling them do not.
The work usually lands on the store manager, often outside trading hours, and the output is stale the moment it is sent. When head office asks a follow-up question, the spreadsheet gets opened again.
Retail+ reads the same POS data live. The report stops being a weekly build and becomes a question you ask when you need the answer.
The core of every weekly pack, live instead of assembled.
Which products stepped up or fell away this week, so the commentary writes itself from evidence.
Departments or days trading below their own recent pattern, worth a line before someone asks.
The Home screen shows the store's health the moment you open it: sales, margin, top products, live from the tills.
In Real-time Analytics, compare this week to last by department, category or product. The drill-down replaces the spreadsheet tabs.
Put the follow-up questions to Hank in plain English and the answer comes straight back, drawn from your own POS.
Illustrative of what you can ask once your data is connected.
If the numbers show something that needs fixing, raise it as a task with an owner and a due time, straight from the view.
Next week the same questions return the new answers. The pack never gets rebuilt because it never existed; the data did.
In the same form every time, whenever you ask, not once a week after close.
Rather than another spreadsheet session every time head office asks a question.
Directly from the view, with owners and completion tracking.
Time returned to the floor instead of the spreadsheet.
Hours each week assembling the pack, usually after close. Follow-up questions mean reopening the spreadsheet. Numbers are stale on arrival.
The numbers are live and self-serve. The weekly conversation starts from the same trusted data on both sides, and the time goes back to the floor.
The tapestry® Economic Impact Report models a conservative A$27.5k of net value per store per year, a central estimate of A$85.7k, and up to A$181.4k at the top of the modelled range, on a A$30m store. Modelled scenario only. Individual results may vary.
Run the 4-week free trial on your own POS data and let this week's report answer itself. No setup fees.