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Stores off their own recent pattern
A store trading below where it usually sits for the day and week, worth a closer look before the next visit.
An area manager's week is finite, and without a clear read on how each store is trading, visits default to routine or proximity. This workflow puts current store performance side by side, so the time goes where it will do the most good.
An area manager covers more stores than can be visited closely in any week, so the real question is always which stores need the time. Without current numbers, the answer defaults to a routine roster or to whichever store is nearest, not to whichever store is slipping.
The data to make the call sits in each store's sales and margin, but pulling it together store by store before a visit is slow, so it often does not happen.
Retail+ reads every store's performance live. Which stores are ahead and which are falling behind becomes something you can see before you plan the week.
A store trading below where it usually sits for the day and week, worth a closer look before the next visit.
Differences large enough to be worth acting on, so a normal fluctuation does not pull you across the region for nothing.
Stores holding their sales but losing margin, a pattern a top-line glance would miss.
Open Retail+ and rank your stores on sales and margin against their own recent pattern, live from the tills, so the stores that need attention are in front of you.
Compare each store to its recent weeks and to its peers to confirm whether a dip is a real slide or a normal fluctuation.
Put the store 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.
Build the visit route around the stores that need it, and raise the focus for each visit as a task with an owner and a due time.
After the visits, re-run the same comparison to see whether the stores you prioritised have responded.
Store performance in the same shape each time.
Built around the stores that need it, not routine or proximity.
A read on whether a store is losing sales, margin or both.
Raised with owners and completion tracking.
Visits follow a routine roster or the shortest drive, and a slipping store can go weeks between closer looks. The pre-visit picture is whatever was in the last report.
The week is planned around current performance, and each visit starts from the store's real numbers. Time goes to the stores that move the region.
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 plan next week around the stores that need you. No setup fees.